The idea: instead of sending surveys or running A/B tests, what if marketers could ask questions directly to an AI twin of their ideal customer \u2014 built from real data like LinkedIn profiles, CRM notes, and behavioral insights?
Each twin captures that customer\u2019s role, pain points, buying triggers, and communication style.\nYou can then ask:
\u201cWould this headline make sense to you?\u201d
\u201cWhy would you hesitate to book a demo?\u201d
\u201cWhat would make this offer more relevant?\u201d
Under the hood:
LLMs + embedding models fine-tuned on buyer language
Real-world inputs (LinkedIn data, optional CSV uploads)
Lightweight feedback layer to validate responses
70+ beta testers are using it to test messaging and GTM ideas before launch.
Would love feedback from HN:
How might you improve the data ingestion layer?\nHow can I simulate a focus group?\nHow can i combine data to create a digital twin of a post like VP of Marketing (broad as some users are demanding not testing with just one profile but a combination of atleast 10)?
Any ideas to make the twin modeling more reliable over time?
Free beta: https://resonax.ai"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Show HN: I built AI twins from LinkedIn and CRM data to simulate real B2B buyers"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"https://resonax.ai/"}},"_tags":["story","author_resonaX","story_45822964","show_hn"],"author":"resonaX","children":[45823077,45823217,45824787,45831339,45831348],"created_at":"2025-11-05T14:05:03Z","created_at_i":1762351503,"num_comments":7,"objectID":"45822964","points":2,"story_id":45822964,"story_text":"I\u2019ve been working on resonaX\n \u2014 an experiment to see if we can simulate real B2B customers using AI.
The idea: instead of sending surveys or running A/B tests, what if marketers could ask questions directly to an AI twin of their ideal customer \u2014 built from real data like LinkedIn profiles, CRM notes, and behavioral insights?
Each twin captures that customer\u2019s role, pain points, buying triggers, and communication style.\nYou can then ask:
\u201cWould this headline make sense to you?\u201d
\u201cWhy would you hesitate to book a demo?\u201d
\u201cWhat would make this offer more relevant?\u201d
Under the hood:
LLMs + embedding models fine-tuned on buyer language
Real-world inputs (LinkedIn data, optional CSV uploads)
Lightweight feedback layer to validate responses
70+ beta testers are using it to test messaging and GTM ideas before launch.
Would love feedback from HN:
How might you improve the data ingestion layer?\nHow can I simulate a focus group?\nHow can i combine data to create a digital twin of a post like VP of Marketing (broad as some users are demanding not testing with just one profile but a combination of atleast 10)?
Any ideas to make the twin modeling more reliable over time?
Free beta: https://resonax.ai","title":"Show HN: I built AI twins from LinkedIn and CRM data to simulate real B2B buyers","updated_at":"2026-03-05T22:57:29Z","url":"https://resonax.ai/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"Charlie112"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://chengai.me
The problem: Hiring new grads is broken. Thousands of identical resumes, but we're all different people. Understanding someone takes time - assessments, phone screens, multiple interviews. Most never get truly seen.
I didn't want to be just another PDF. So I built an AI twin that recruiters can actually interview.
What you can do:\n \u2022Interview my AI about anything: https://chengai.me/chat\n \u2022Paste your JD to see if we match: https://chengai.me/jd-match\n \u2022Explore my projects, code, and writing
What happened: Sent it to one recruiter on LinkedIn. Next day, traffic spiked as it spread internally. Got interview invites within 24 hours.
The bigger vision: What if this became standard? Instead of resume spam \u2192 keyword screening \u2192 interview rounds that still miss good fits, let recruiter AI talk to candidate AI for deep discovery. Build a platform where anyone can create their AI twin for genuine matching.
I'm seeking Software/AI/ML Engineering roles and can build production-ready solutions from scratch.
The site itself proves what I can do. Would love HN's thoughts on both the execution and the vision."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Show HN: I built an AI twin recruiters can interview"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://chengai.me/"}},"_tags":["story","author_Charlie112","story_46878824","show_hn"],"author":"Charlie112","children":[46878857,46878995,46879139],"created_at":"2026-02-03T23:19:28Z","created_at_i":1770160768,"num_comments":6,"objectID":"46878824","points":2,"story_id":46878824,"story_text":"https://chengai.me
The problem: Hiring new grads is broken. Thousands of identical resumes, but we're all different people. Understanding someone takes time - assessments, phone screens, multiple interviews. Most never get truly seen.
I didn't want to be just another PDF. So I built an AI twin that recruiters can actually interview.
What you can do:\n \u2022Interview my AI about anything: https://chengai.me/chat\n \u2022Paste your JD to see if we match: https://chengai.me/jd-match\n \u2022Explore my projects, code, and writing
What happened: Sent it to one recruiter on LinkedIn. Next day, traffic spiked as it spread internally. Got interview invites within 24 hours.
The bigger vision: What if this became standard? Instead of resume spam \u2192 keyword screening \u2192 interview rounds that still miss good fits, let recruiter AI talk to candidate AI for deep discovery. Build a platform where anyone can create their AI twin for genuine matching.
I'm seeking Software/AI/ML Engineering roles and can build production-ready solutions from scratch.
The site itself proves what I can do. Would love HN's thoughts on both the execution and the vision.","title":"Show HN: I built an AI twin recruiters can interview","updated_at":"2026-03-05T23:30:46Z","url":"https://chengai.me/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gHeadphone"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"How to make your AI twin"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://markgreville.ie/2025/10/06/how-to-make-your-ai-twin/"}},"_tags":["story","author_gHeadphone","story_45557352"],"author":"gHeadphone","created_at":"2025-10-12T11:26:43Z","created_at_i":1760268403,"num_comments":0,"objectID":"45557352","points":2,"story_id":45557352,"title":"How to make your AI twin","updated_at":"2026-03-05T22:50:47Z","url":"https://markgreville.ie/2025/10/06/how-to-make-your-ai-twin/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gHeadphone"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Why I built my AI Twin"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"}},"_tags":["story","author_gHeadphone","story_45548631"],"author":"gHeadphone","created_at":"2025-10-11T12:26:11Z","created_at_i":1760185571,"num_comments":0,"objectID":"45548631","points":2,"story_id":45548631,"title":"Why I built my AI Twin","updated_at":"2026-03-05T22:50:10Z","url":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gHeadphone"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"I built my AI Twin"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"}},"_tags":["story","author_gHeadphone","story_45520070"],"author":"gHeadphone","created_at":"2025-10-08T20:10:37Z","created_at_i":1759954237,"num_comments":0,"objectID":"45520070","points":2,"story_id":45520070,"title":"I built my AI Twin","updated_at":"2026-03-05T22:48:10Z","url":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"mohi-kalantari"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"How to make your AI twin"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://markgreville.ie/2025/10/06/how-to-make-your-ai-twin/"}},"_tags":["story","author_mohi-kalantari","story_45501682"],"author":"mohi-kalantari","created_at":"2025-10-07T11:08:57Z","created_at_i":1759835337,"num_comments":0,"objectID":"45501682","points":2,"story_id":45501682,"title":"How to make your AI twin","updated_at":"2026-03-05T22:46:31Z","url":"https://markgreville.ie/2025/10/06/how-to-make-your-ai-twin/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"sumhead"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Digital Twin \u2013 An AI Clone of Yourself (Claude and ElevenLabs and Cloudflare)"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://aimirrortwin.com"}},"_tags":["story","author_sumhead","story_48148928"],"author":"sumhead","children":[48148929,48149080],"created_at":"2026-05-15T14:17:43Z","created_at_i":1778854663,"num_comments":1,"objectID":"48148928","points":1,"story_id":48148928,"title":"Digital Twin \u2013 An AI Clone of Yourself (Claude and ElevenLabs and Cloudflare)","updated_at":"2026-05-16T08:36:34Z","url":"https://aimirrortwin.com"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"tjc45"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Building simulations and/or digital twins with AI"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/plugboard-dev/plugboard"}},"_tags":["story","author_tjc45","story_47940695"],"author":"tjc45","children":[47940696],"created_at":"2026-04-28T21:00:10Z","created_at_i":1777410010,"num_comments":1,"objectID":"47940695","points":1,"story_id":47940695,"title":"Building simulations and/or digital twins with AI","updated_at":"2026-04-28T21:03:17Z","url":"https://github.com/plugboard-dev/plugboard"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"boynamedsue"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Winklevoss Twins Aim to Take Bitcoin Mainstream with a Regulated Exchange"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"http://dealbook.nytimes.com/2015/01/22/winklevoss-twins-aim-to-take-bitcoin-mainstream-with-a-regulated-exchange"}},"_tags":["story","author_boynamedsue","story_8934644"],"author":"boynamedsue","created_at":"2015-01-23T13:15:15Z","created_at_i":1422018915,"num_comments":0,"objectID":"8934644","points":1,"story_id":8934644,"title":"Winklevoss Twins Aim to Take Bitcoin Mainstream with a Regulated Exchange","updated_at":"2023-09-06T23:20:39Z","url":"http://dealbook.nytimes.com/2015/01/22/winklevoss-twins-aim-to-take-bitcoin-mainstream-with-a-regulated-exchange"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"aleksnowacki"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Twinly Lab \u2013 AI Twin Marketplace for Creators"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://twinlylab.com/"}},"_tags":["story","author_aleksnowacki","story_49436357"],"author":"aleksnowacki","children":[49436358],"created_at":"2026-08-25T16:06:13Z","created_at_i":1787673973,"num_comments":0,"objectID":"49436357","points":1,"story_id":49436357,"title":"Twinly Lab \u2013 AI Twin Marketplace for Creators","updated_at":"2026-08-25T16:07:19Z","url":"https://twinlylab.com/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"ivanvolt"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Find Your Celebrity Twin with AI"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://celeblookalike.org/"}},"_tags":["story","author_ivanvolt","story_46393118"],"author":"ivanvolt","children":[46393119],"created_at":"2025-12-26T15:38:38Z","created_at_i":1766763518,"num_comments":0,"objectID":"46393118","points":1,"story_id":46393118,"title":"Find Your Celebrity Twin with AI","updated_at":"2026-03-05T23:18:56Z","url":"https://celeblookalike.org/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gHeadphone"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"O'Briens Policeman \u2013 Why I built my AI Twin"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"}},"_tags":["story","author_gHeadphone","story_45492848"],"author":"gHeadphone","created_at":"2025-10-06T16:05:57Z","created_at_i":1759766757,"num_comments":0,"objectID":"45492848","points":1,"story_id":45492848,"title":"O'Briens Policeman \u2013 Why I built my AI Twin","updated_at":"2026-03-05T22:51:23Z","url":"https://markgreville.ie/2025/10/06/obriens-policeman-why-i-built-my-ai-twin/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"jordigh"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Ekai: AI Twin for Slack Users"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://yourekai.com/"}},"_tags":["story","author_jordigh","story_44434480"],"author":"jordigh","created_at":"2025-07-01T14:53:19Z","created_at_i":1751381599,"num_comments":0,"objectID":"44434480","points":1,"story_id":44434480,"title":"Ekai: AI Twin for Slack Users","updated_at":"2025-07-01T14:54:03Z","url":"https://yourekai.com/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"CharlesW"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Reid Hoffman meets his AI twin [video]"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://www.youtube.com/watch?v=rgD2gmwCS10"}},"_tags":["story","author_CharlesW","story_40152940"],"author":"CharlesW","created_at":"2024-04-25T03:09:05Z","created_at_i":1714014545,"num_comments":0,"objectID":"40152940","points":1,"story_id":40152940,"title":"Reid Hoffman meets his AI twin [video]","updated_at":"2024-09-20T16:53:37Z","url":"https://www.youtube.com/watch?v=rgD2gmwCS10"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"andsoitis"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Me vs. My AI Twin: A Generative AI Experiment"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://btwnd.com/blog/facing-my-ai-twin"}},"_tags":["story","author_andsoitis","story_39008121"],"author":"andsoitis","created_at":"2024-01-16T01:01:34Z","created_at_i":1705366894,"num_comments":0,"objectID":"39008121","points":1,"story_id":39008121,"title":"Me vs. My AI Twin: A Generative AI Experiment","updated_at":"2024-09-20T16:08:24Z","url":"https://btwnd.com/blog/facing-my-ai-twin"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"nicholasreed"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Second's goal is to be your fully decentralized, AI twin that runs everywhere (in the cloud, in your browser, on your phone or smart tv), managing all your data, connections, and software. You give it instructions, and it follows them, answering only to you.
Decentralization has three major problems:
- Identity: how do I know I'm talking to you? ("Zooko's Triangle" = decentralized, secure, human-addressable) What is your reputation for X transaction? Where can I find Y thing that you made?
- Language and Storage: What is the format of the data we exchange, where is the data stored, and who has access?
- Hosting/Install/Upgrades: The UX of installing software sucks for programmers, even more so for non-programmers. How does a non-technical user install/upgrade without knowing anything technical?
Second solves those problems:
- Identity: stored on the Stellar blockchain as usernames/namespaces.
- Language and Storage: everything is a "node" that has a "type" that defines the schema of the data. NodeChains are tied to identities, have permissions, and are easily mirror-able over IPFS.
- Hosting/Install/Upgrades: a Second is a thin shell around a VM that runs nodes (nodes are both data and logic). Upgrading capabilities or UIs is as simple as replacing nodes (based on who you trust).
Two videos are on the homepage that give a technical overview (basically same as above, with a few more details), and a walkthrough of the alpha software.
https://www.getasecond.com"},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: Second \u2013 solution to decentralize"}},"_tags":["story","author_nicholasreed","story_16684276","show_hn"],"author":"nicholasreed","children":[16684277],"created_at":"2018-03-27T01:09:47Z","created_at_i":1522112987,"num_comments":1,"objectID":"16684276","points":7,"story_id":16684276,"story_text":"Second's goal is to be your fully decentralized, AI twin that runs everywhere (in the cloud, in your browser, on your phone or smart tv), managing all your data, connections, and software. You give it instructions, and it follows them, answering only to you.
Decentralization has three major problems:
- Identity: how do I know I'm talking to you? ("Zooko's Triangle" = decentralized, secure, human-addressable) What is your reputation for X transaction? Where can I find Y thing that you made?
- Language and Storage: What is the format of the data we exchange, where is the data stored, and who has access?
- Hosting/Install/Upgrades: The UX of installing software sucks for programmers, even more so for non-programmers. How does a non-technical user install/upgrade without knowing anything technical?
Second solves those problems:
- Identity: stored on the Stellar blockchain as usernames/namespaces.
- Language and Storage: everything is a "node" that has a "type" that defines the schema of the data. NodeChains are tied to identities, have permissions, and are easily mirror-able over IPFS.
- Hosting/Install/Upgrades: a Second is a thin shell around a VM that runs nodes (nodes are both data and logic). Upgrading capabilities or UIs is as simple as replacing nodes (based on who you trust).
Two videos are on the homepage that give a technical overview (basically same as above, with a few more details), and a walkthrough of the alpha software.
https://www.getasecond.com","title":"Show HN: Second \u2013 solution to decentralize","updated_at":"2024-09-20T02:18:21Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"ghostclaw-cso"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Hey HN,
We kept running into the same problem: when an AI system makes a consequential decision, there's no neutral way to verify what it actually saw and did. Logs are editable. Screenshots lie. "Trust us" doesn't hold up in regulated industries or litigation.
So we built SENTINEL. Three products, one protocol:
*SENTINEL Score* -- unjailbreakable safety layer. Text in, float out (0.0-1.0). Nothing else crosses the wire. No tokens, no text, no PHI. Can't be jailbroken because there's nothing to jailbreak. HIPAA environments, military, credit bureaus -- they need a number, not a chatbot.
*SENTINEL Proof* -- neutral ground for AI disputes. Every evaluation ZK-proofed, timestamped, committed on Base mainnet. Neither vendor nor client controls the record. When it goes to court, the transaction hash is the evidence. AI companies could build this themselves -- they won't. "You're storing our conversations?" is a PR disaster. Neutral third party solves that.
*AEGIS* -- AI security that closes the loop. 72B parameter model. Finds vulnerabilities, writes the patch. Not a report. Scan, identify, patch, verify.
8 contracts live on Base mainnet. Free API key at sentinel.biotwin.io -- no credit card, no sales call.
We use SENTINEL Proof inside Bio-Twin (AI drug safety pre-screening) to make AI decisions defensible for pharma labs and attorneys. The Disney $2.75M CA AG settlement last week is a concrete example of why this matters.
Happy to talk on-chain architecture, zkML proof generation at scale, or EU AI Act compliance."},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"Show HN: Sentinel \u2013 Cryptographic proof for AI decisions (zkML, on-chain)"}},"_tags":["story","author_ghostclaw-cso","story_47068103","show_hn"],"author":"ghostclaw-cso","created_at":"2026-02-18T23:58:04Z","created_at_i":1771459084,"num_comments":0,"objectID":"47068103","points":2,"story_id":47068103,"story_text":"Hey HN,
We kept running into the same problem: when an AI system makes a consequential decision, there's no neutral way to verify what it actually saw and did. Logs are editable. Screenshots lie. "Trust us" doesn't hold up in regulated industries or litigation.
So we built SENTINEL. Three products, one protocol:
*SENTINEL Score* -- unjailbreakable safety layer. Text in, float out (0.0-1.0). Nothing else crosses the wire. No tokens, no text, no PHI. Can't be jailbroken because there's nothing to jailbreak. HIPAA environments, military, credit bureaus -- they need a number, not a chatbot.
*SENTINEL Proof* -- neutral ground for AI disputes. Every evaluation ZK-proofed, timestamped, committed on Base mainnet. Neither vendor nor client controls the record. When it goes to court, the transaction hash is the evidence. AI companies could build this themselves -- they won't. "You're storing our conversations?" is a PR disaster. Neutral third party solves that.
*AEGIS* -- AI security that closes the loop. 72B parameter model. Finds vulnerabilities, writes the patch. Not a report. Scan, identify, patch, verify.
8 contracts live on Base mainnet. Free API key at sentinel.biotwin.io -- no credit card, no sales call.
We use SENTINEL Proof inside Bio-Twin (AI drug safety pre-screening) to make AI decisions defensible for pharma labs and attorneys. The Disney $2.75M CA AG settlement last week is a concrete example of why this matters.
Happy to talk on-chain architecture, zkML proof generation at scale, or EU AI Act compliance.","title":"Show HN: Sentinel \u2013 Cryptographic proof for AI decisions (zkML, on-chain)","updated_at":"2026-03-05T23:35:28Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"resonaX"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Hi HN! I'm Swati, and I've been working on resonaX (https://resonax.ai) - a tool that creates AI customer twins for instant marketing idea validation.
The Problem: As a B2B SaaS marketer, I was frustrated spending weeks trying to get customer interviews, only to get 2-3 responses. I needed quick feedback on brand positioning, messaging, landing pages, campaign ideas or sometimes asking questions about their buyer journey.
The Solution: resonaX creates digital twins of your ideal customers using their LinkedIn profiles or CRM data and behavioral data. You can validate marketing ideas instantly - no scheduling, no waiting.
How it works: Paste a LinkedIn URL \u2192 Get an AI twin in 30 seconds \u2192 Ask anything ("Would this headline make you click?" "What's your biggest objection?")
Early Results: 70 beta users, helping SaaS founders & marketers test everything from homepage copy to pricing pages to email subject lines.
What I'd love feedback on:\n- Does this solve a real problem you face?\n- Would you use something like this?\n- What concerns would you have about AI customer twins?\n- What are the use cases you would use it for mostly?
Currently in beta - happy to give HN folks free access in exchange for honest feedback!
Thanks for taking a look!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Ask HN: Review my startup \u2013 AI customer twins for instant marketing validation"}},"_tags":["story","author_resonaX","story_45276478","ask_hn"],"author":"resonaX","children":[45277015,45278186],"created_at":"2025-09-17T14:44:38Z","created_at_i":1758120278,"num_comments":5,"objectID":"45276478","points":1,"story_id":45276478,"story_text":"Hi HN! I'm Swati, and I've been working on resonaX (https://resonax.ai) - a tool that creates AI customer twins for instant marketing idea validation.
The Problem: As a B2B SaaS marketer, I was frustrated spending weeks trying to get customer interviews, only to get 2-3 responses. I needed quick feedback on brand positioning, messaging, landing pages, campaign ideas or sometimes asking questions about their buyer journey.
The Solution: resonaX creates digital twins of your ideal customers using their LinkedIn profiles or CRM data and behavioral data. You can validate marketing ideas instantly - no scheduling, no waiting.
How it works: Paste a LinkedIn URL \u2192 Get an AI twin in 30 seconds \u2192 Ask anything ("Would this headline make you click?" "What's your biggest objection?")
Early Results: 70 beta users, helping SaaS founders & marketers test everything from homepage copy to pricing pages to email subject lines.
What I'd love feedback on:\n- Does this solve a real problem you face?\n- Would you use something like this?\n- What concerns would you have about AI customer twins?\n- What are the use cases you would use it for mostly?
Currently in beta - happy to give HN folks free access in exchange for honest feedback!
Thanks for taking a look!","title":"Ask HN: Review my startup \u2013 AI customer twins for instant marketing validation","updated_at":"2026-03-05T22:43:12Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"tr0picana"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"I made a web app where you can upload a single selfie and generate an AI twin that looks (almost) exactly like you.
The good
- No subscription. $5 flat gets you over 100 images.
- I'm not training a model on your face or saving any of your uploaded photos.
- Generations take under 3 minutes.
- The good images look almost indistinguishable from regular selfies taken with a phone.
- Everyone who's used it has broken out in giggles at least once.
- You can dress yourself up in pretty much any way!
The bad
- It may take up to 18 images to find a "good" one.
- Generation quality is heavily dependent on the input selfie.
The ugly
- It's the millionth + 1 ChatGPT/Image generation wrapper
Feedback is very welcome!"},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: InstaRizz \u2013 A silly app for making realistic selfies"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://www.instarizz.io/"}},"_tags":["story","author_tr0picana","story_43269751","show_hn"],"author":"tr0picana","created_at":"2025-03-05T17:43:21Z","created_at_i":1741196601,"num_comments":0,"objectID":"43269751","points":1,"story_id":43269751,"story_text":"I made a web app where you can upload a single selfie and generate an AI twin that looks (almost) exactly like you.
The good
- No subscription. $5 flat gets you over 100 images.
- I'm not training a model on your face or saving any of your uploaded photos.
- Generations take under 3 minutes.
- The good images look almost indistinguishable from regular selfies taken with a phone.
- Everyone who's used it has broken out in giggles at least once.
- You can dress yourself up in pretty much any way!
The bad
- It may take up to 18 images to find a "good" one.
- Generation quality is heavily dependent on the input selfie.
The ugly
- It's the millionth + 1 ChatGPT/Image generation wrapper
Feedback is very welcome!","title":"Show HN: InstaRizz \u2013 A silly app for making realistic selfies","updated_at":"2025-03-05T17:49:03Z","url":"https://www.instarizz.io/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"crescit_eundo"},"title":{"matchLevel":"none","matchedWords":[],"value":"Amazon is filled with garbage e-books, this is how they get 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Could you spare a little time for a stranger today? I want to share this project I've been working on pretty much since I found out about ChatGPT (so, early 2023), and hopefully get some opinions on it\u2014and maybe even find people who would like to work on it with me. But be warned, there is a lot here.
If you check out the repository, you will find how to contact me, or I guess we could talk here too.
I had Claude summarize the project as follows:
"OpenClone \u2013 an AI-powered digital clone creation platform that lets users build personalized AI avatars capable of realistic conversation, voice synthesis, and deepfake video generation. Built with ASP.NET Core, PostgreSQL, and Python AI services (SadTalker, U-2-Net), it's designed as a self-contained, Docker-deployable system moving toward complete independence from external APIs, allowing anyone to create their own AI digital twin with just a few setup commands."
But I would say, if you are looking for a medium-sized project that does AI integrations or Kubernetes, you may want to check it out. Also, if you are interested in seeing a unique CI/CD architecture, you might find it interesting there too."},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: OpenClone \u2013 A human cloning deepfake project with infrastructure"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/smchughinfo/OpenClone"}},"_tags":["story","author_seanmchugh1","story_44284010","show_hn"],"author":"seanmchugh1","created_at":"2025-06-15T18:21:26Z","created_at_i":1750011686,"num_comments":0,"objectID":"44284010","points":2,"story_id":44284010,"story_text":"Hi Hacker News,
Could you spare a little time for a stranger today? I want to share this project I've been working on pretty much since I found out about ChatGPT (so, early 2023), and hopefully get some opinions on it\u2014and maybe even find people who would like to work on it with me. But be warned, there is a lot here.
If you check out the repository, you will find how to contact me, or I guess we could talk here too.
I had Claude summarize the project as follows:
"OpenClone \u2013 an AI-powered digital clone creation platform that lets users build personalized AI avatars capable of realistic conversation, voice synthesis, and deepfake video generation. Built with ASP.NET Core, PostgreSQL, and Python AI services (SadTalker, U-2-Net), it's designed as a self-contained, Docker-deployable system moving toward complete independence from external APIs, allowing anyone to create their own AI digital twin with just a few setup commands."
But I would say, if you are looking for a medium-sized project that does AI integrations or Kubernetes, you may want to check it out. Also, if you are interested in seeing a unique CI/CD architecture, you might find it interesting there too.","title":"Show HN: OpenClone \u2013 A human cloning deepfake project with infrastructure","updated_at":"2025-06-15T18:57:18Z","url":"https://github.com/smchughinfo/OpenClone"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"iancmceachern"},"title":{"matchLevel":"none","matchedWords":[],"value":"Sorry, I'm Not Available. Talk to the A.I. 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bot"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"https://gizmodo.com/man-who-made-a-digital-ai-powered-twin-for-video-calls-1842705724"}},"_tags":["story","author_davio","story_22803598"],"author":"davio","created_at":"2020-04-07T14:39:29Z","created_at_i":1586270369,"num_comments":0,"objectID":"22803598","points":1,"story_id":22803598,"title":"Video of AI-powered Zoom meeting bot","updated_at":"2024-09-20T05:57:44Z","url":"https://gizmodo.com/man-who-made-a-digital-ai-powered-twin-for-video-calls-1842705724"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"telaandrews2"},"story_text":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["twin1"],"value":"Inspired by Simon Willison's recent post on dark software factories: https://simonwillison.net/2026/feb/7/software-factory/ , I started experimenting with the Digital Twin Universe concept for a fintech product I'm building. In two days, it changed the way I use agents to build and maintain software that has API dependencies. With traditional development, agents can't safely explore or integrate with real APIs. Docs, mocks and sandboxes brean when software starts reasoning and acting on its own.
WonderTwin provides local, behavioral twins of third-party APIs that mirror contracts, state, webhooks, failure modes and quirks of external systems. Agents (or humans) can test, develop and iterate safely, locally or in CI, without touching production. Without needing internet access. Just `wt install stripe@latest` and you have a compiled Go binary that fully simulates Stripe, compliant with their most recent SDK release. WonderTwins include an MCP server so agents can interact directly with each twin.
WonderTwin is open core, with a commercial offering for production teams. Latest twin versions are always and forever free, and you can also build your own twin with the included agent skill. The commercial offering offers historical versions, with chaos testing and other resiliency features coming soon.
If you're building or maintaining API-heavy systems, or experimenting with autonomous agents, I'd love feedback on whether this approach is useful and any ways it could be improved."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["twin1","ai"],"value":"Show HN: WonderTwin AI \u2013 Local API twins for safe agentic development"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"https://wondertwin.ai"}},"_tags":["story","author_telaandrews2","story_47050616","show_hn"],"author":"telaandrews2","created_at":"2026-02-17T17:58:28Z","created_at_i":1771351108,"num_comments":0,"objectID":"47050616","points":2,"story_id":47050616,"story_text":"Inspired by Simon Willison's recent post on dark software factories: https://simonwillison.net/2026/feb/7/software-factory/ , I started experimenting with the Digital Twin Universe concept for a fintech product I'm building. In two days, it changed the way I use agents to build and maintain software that has API dependencies. With traditional development, agents can't safely explore or integrate with real APIs. Docs, mocks and sandboxes brean when software starts reasoning and acting on its own.
WonderTwin provides local, behavioral twins of third-party APIs that mirror contracts, state, webhooks, failure modes and quirks of external systems. Agents (or humans) can test, develop and iterate safely, locally or in CI, without touching production. Without needing internet access. Just `wt install stripe@latest` and you have a compiled Go binary that fully simulates Stripe, compliant with their most recent SDK release. WonderTwins include an MCP server so agents can interact directly with each twin.
WonderTwin is open core, with a commercial offering for production teams. Latest twin versions are always and forever free, and you can also build your own twin with the included agent skill. The commercial offering offers historical versions, with chaos testing and other resiliency features coming soon.
If you're building or maintaining API-heavy systems, or experimenting with autonomous agents, I'd love feedback on whether this approach is useful and any ways it could be improved.","title":"Show HN: WonderTwin AI \u2013 Local API twins for safe agentic development","updated_at":"2026-03-05T23:34:32Z","url":"https://wondertwin.ai"}],"hitsPerPage":50,"nbHits":150,"nbPages":3,"page":0,"params":"query=Twin1+AI&tags=story&hitsPerPage=50&advancedSyntax=true&analyticsTags=backend","processingTimeMS":15,"processingTimingsMS":{"_request":{"roundTrip":20},"afterFetch":{"format":{"highlighting":1,"total":1},"merge":{"mergeLoop":{"prepareNextHit":7,"total":7},"total":7},"total":7},"fetch":{"query":2,"scanning":4,"total":7},"total":15},"query":"Twin1 AI","serverTimeMS":17}