IP to Company API – turn any IP into business data

Hacker News

We run a marketplace and a couple of years ago we were looking for an IP to company API solution to test if we could generate additional revenues by serving high intent leads to our users. We tried many solutions, the first few that we implemented provided business data only for companies that had registered an IP, so for the vast majority of our visitors that are SMBs it didn't work. We found a couple of solutions that had great data sets and were able to unconver SMBs, but they were very expensive and required upfront payment and an annual commitment, which was not feasible for us as a small startup. After many months working as a side project, we launched our own API tool that is affordable for small startups or even indie developers that would like to use an IP to company API to test if they can monetize their platform or run real-time personalization. It comes with a free tier so anybody who is interested in trying it can set up an account and test it with real data.

Visit product View on Hacker NewsSep 11, 2026

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

91%91% 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: user · Missing: mac, agents, macos

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

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

21%21% 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 · Missing: arr, mrr, profit

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.

Correct prediction on native model

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