Discover fast growing companies early

Hacker News

Hi everyone, I originally built Altero AI as a way to generate business research reports on private companies using AI agents. The hope was to give investors an additional reference point in their due diligence and broader research. As I started to integrate different data sources into the research reports, I found it super interesting to look at companies showing positive growth signals (e.g. uptick in search interest, headcount, etc.). Of course, not all high growth companies will exhibit these signals, and companies exhibiting these signals are not necessarily experiencing the same in revenue growth. That being said, filtering for growth signals along other attributes (e.g. location, size) generally gives a list of interesting companies worth digging into. I've started to go deeper on this functionality and still need to grow the universe of companies and topics being tracked, but any and all feedback is welcome!

Visit product View on Hacker NewsNov 26, 2023

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Did not reach leaderboard

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, growth · Missing: arr, mrr, profit

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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