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We\u2019re a former PM and software engineer from Robinhood who decide to start an investment bank for startups.
In 2023, we had just shut down our previous YC-backed startup Psychic (https://news.ycombinator.com/item?id=36032081). We were one of many startups building generative AI infrastructure long before it had become apparent what the applications were going to be, and it turns out the bet we made was wrong. This might sound familiar to anyone who\u2019s been through the web3 hype cycle, but it was a big learning for us.
Around the same time, we noticed a lot of interest in M&A activity from our founder friends, and informally advised one of our batchmates in the sale of his startup. We started learning about what it takes to get deals done, and that\u2019s when we realized there was a massive gap in advisory services for founders who want to step off the venture path (or were never on it in the first place) that existing service providers don\u2019t fill.
The problem: if you\u2019re a founder with less than $10mm in annual revenue who wants to sell their software startup, investment banks won\u2019t work with you because the fees won\u2019t cover their costs.
This leaves you with few good options:
- there are \u201cbusiness brokers\u201d in the lower end of the market who will try to sell your company for a commission. 95% of them actually have negative value because they don't have a good network in the software industry, while locking you into multi-year exclusivity agreements. If they were any good, they\u2019d go upmarket and just become investment bankers.\n- marketplaces like Flippa or Acquire.com are great for four, five and six figure transactions but serious corporate and institutional buyers tend to avoid these platforms. There\u2019s also significant negative signaling if your startup is being listed next to the latest a flappy bird app.\n- most founders choose to DIY their acquisition process, but it\u2019s a LOT of work. We see many founders get stuck in a viscous cycle of try to sell \u2192 get distracted \u2192 growth declines \u2192 can\u2019t find buyer \u2192 selling gets even harder \u2192 they ultimately shut down. The median founder sells 0 companies in their lifetime, so it makes no sense to spend months becoming a M&A expert when you have a business to run.
Our solution
We started Dealwise in December 2023 to be the good option for startup founders looking to get acquired. We\u2019re new, but our track record is phenomenal. Traditional M&A advisors typically take a minimum of 6 months to close a deal, while we went from launch \u2192 7 figure deal closed in just 3 months, with several more companies under offer.
The fact that our background is in engineering and not investment banking helped a lot. The finance mindset is to throw bodies (usually analysts) at a problem, whereas the engineering mindset is to invent better ways of solving a problem.
That\u2019s why as we scale, we\u2019ll be applying our experience from building LLM tooling for Psychic to automate the majority of back office tasks so we can focus our time on supporting founders overlooked by the traditional investment banking industry."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["scale","ai"],"value":"Show HN: Dealwise, an investment bank that scales with AI instead of analysts"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://godealwise.com/"}},"_tags":["story","author_jfan001","story_39780051","show_hn"],"author":"jfan001","created_at":"2024-03-21T15:45:19Z","created_at_i":1711035919,"num_comments":0,"objectID":"39780051","points":15,"story_id":39780051,"story_text":"Hi hacker news,
We\u2019re a former PM and software engineer from Robinhood who decide to start an investment bank for startups.
In 2023, we had just shut down our previous YC-backed startup Psychic (https://news.ycombinator.com/item?id=36032081). We were one of many startups building generative AI infrastructure long before it had become apparent what the applications were going to be, and it turns out the bet we made was wrong. This might sound familiar to anyone who\u2019s been through the web3 hype cycle, but it was a big learning for us.
Around the same time, we noticed a lot of interest in M&A activity from our founder friends, and informally advised one of our batchmates in the sale of his startup. We started learning about what it takes to get deals done, and that\u2019s when we realized there was a massive gap in advisory services for founders who want to step off the venture path (or were never on it in the first place) that existing service providers don\u2019t fill.
The problem: if you\u2019re a founder with less than $10mm in annual revenue who wants to sell their software startup, investment banks won\u2019t work with you because the fees won\u2019t cover their costs.
This leaves you with few good options:
- there are \u201cbusiness brokers\u201d in the lower end of the market who will try to sell your company for a commission. 95% of them actually have negative value because they don't have a good network in the software industry, while locking you into multi-year exclusivity agreements. If they were any good, they\u2019d go upmarket and just become investment bankers.\n- marketplaces like Flippa or Acquire.com are great for four, five and six figure transactions but serious corporate and institutional buyers tend to avoid these platforms. There\u2019s also significant negative signaling if your startup is being listed next to the latest a flappy bird app.\n- most founders choose to DIY their acquisition process, but it\u2019s a LOT of work. We see many founders get stuck in a viscous cycle of try to sell \u2192 get distracted \u2192 growth declines \u2192 can\u2019t find buyer \u2192 selling gets even harder \u2192 they ultimately shut down. The median founder sells 0 companies in their lifetime, so it makes no sense to spend months becoming a M&A expert when you have a business to run.
Our solution
We started Dealwise in December 2023 to be the good option for startup founders looking to get acquired. We\u2019re new, but our track record is phenomenal. Traditional M&A advisors typically take a minimum of 6 months to close a deal, while we went from launch \u2192 7 figure deal closed in just 3 months, with several more companies under offer.
The fact that our background is in engineering and not investment banking helped a lot. The finance mindset is to throw bodies (usually analysts) at a problem, whereas the engineering mindset is to invent better ways of solving a problem.
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The claim: in 10 years, the job of salespeople will be replaced by artificial intelligence.
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1. Company search can be attacked with large-scale crawling, human computation, entity resolution, and careful data updates
2. Buying intent can be deduced automatically based on classifiers but is done better with human computation
3. Email communication is complex, has a lot of interesting subproblems, and is solvable!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["scale","ai"],"value":"Data Driven Sales That Scale: Building AI That Sells [Video and Slides]"}},"_tags":["story","author_wwickey","story_10312569","ask_hn"],"author":"wwickey","children":[10312868],"created_at":"2015-10-01T16:51:58Z","created_at_i":1443718318,"num_comments":1,"objectID":"10312569","points":5,"story_id":10312569,"story_text":"LeadGenius Co-Founder and Chief Scientist (and YC alum '11), Anand Kulkarni, discusses the future of automated, data driven sales at the SVDE Meetup Group presented by Treasure Data.
http://blog.leadgenius.com/data-driven-sales-that-scale-ai-that-sells/
The claim: in 10 years, the job of salespeople will be replaced by artificial intelligence.
From the presentation:
1. Company search can be attacked with large-scale crawling, human computation, entity resolution, and careful data updates
2. Buying intent can be deduced automatically based on classifiers but is done better with human computation
3. Email communication is complex, has a lot of interesting subproblems, and is solvable!","title":"Data Driven Sales That Scale: Building AI That Sells [Video and Slides]","updated_at":"2024-09-19T22:19:39Z"}],"hitsPerPage":50,"nbHits":2825,"nbPages":20,"page":0,"params":"query=Scale+AI&tags=story&hitsPerPage=50&advancedSyntax=true&analyticsTags=backend","processingTimeMS":19,"processingTimingsMS":{"_request":{"roundTrip":14},"afterFetch":{"merge":{"mergeLoop":{"prepareNextHit":9,"total":9},"total":9},"total":9},"fetch":{"query":2,"scanning":6,"total":9},"total":19},"query":"Scale AI","serverTimeMS":21}