Op

Open-Source,The underlying infrastructure of our profitable API Market

Hacker News

Open-Source,The underlying infrastructure of our profitable API Market

Yes, we have an API marketplace similar to RapiAPI, which has been operating for over two years. Its revenue is substantial enough to support our entire team of over a dozen people, so we've been exploring other directions as well. We’ve noticed that advancements in large AI models are significantly impacting a variety of new products, and we're also considering the potential of combining AI with APIs to unlock more possibilities. However, we still lack deeper insights into how to effectively integrate AI with data-driven APIs and the specific industries and scenarios where this combination would be most impactful. Therefore, we plan to open-source the underlying API gateway of our API marketplace, building it in public. This would allow anyone to share APIs with AI integrations or package prompts with AI into APIs for community use. We’re eager to hear if anyone has additional suggestions. Feel free to submit an issue for us!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, models · Missing: mac, agents, macos
90%90% 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, io · Missing: https docs, excited, just released
65%65% 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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, way, profitable · Missing: mobile apps, personal, entrepreneurs
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit, profitable · Missing: arr, mrr, saas
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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