I made an API to solve the ridiculous problem of most search bars

Hacker News

Ever searched something on a website but did not find it even though they have it? I was sick of this problem as I have to search keywords instead of natural language. Big companies like amazon have already solved this issue by implementing natural language processing; so why not us individual developers? Still today most website/apps use user's query and search it directly into their database this results in poor results as the raw query may have spelling mistakes, natural language, foreign language, etc. But the good news is that now there is a solution : use my AI API response to get much better results which results in customer finding what they want and we get more sales. Head to https://ExpressAPIs.com/docs for more technical details. Try it out for free as every user gets 5000 free API calls. my API have AI, Natural language processing, and multi-language support. Playground available for testing without credit card requirement. (feedback is highly appreciated) Thank You.

Visit product View on Hacker NewsMay 29, 2024

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Actual performance

2points

Did not reach leaderboard

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

80%80% 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: apps, user, new · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

61%61% 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: apps · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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