I built a semantic search engine for startups only

Hacker News

Hi all! My hobby is thinking about startup ideas, however, it is sometimes hard to tell if someone else is doing my idea already. Google is not really good at searching for new products as those usually do not rank highly in terms of SEO. So I built something like Google but for startups only. Since it is semantic search using deep learning NLP and not full-text search, you can type pretty much everything you want. I am having a lot of fun with it, especially with "Try my luck!" button. Let me know if there is something you would improve and if there are some datasets of companies I could include in the search. The data shown are scraped directly from the source websites.

Visit product View on Hacker NewsDec 23, 2023

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, using · Missing: mac, agents, macos

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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