Hummingbird – Get immediate AI answers

Hacker News

Hi everyone, I use AI to get answer as much as I used Google before. So I built this little app that you can quickly get an answer by: - Press hotkeys -> Type your question -> Get answer It has web browsing feature, real-time search, rich content view, code highlighting. It's BYOK, supported OpenAI and its compatible API. I started learning swift and this is just handy. Just ask, it give the code example and explanation. Will support Windows and Linux soon Feel free to leave your feedback

Visit product View on Hacker NewsNov 27, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, openai, code · 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.

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

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Indie Hackers, 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · 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

14%14% 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

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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