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Show HN - Twirly AI – Instant AI email replies, in one click

Hacker News

Show HN - Twirly AI – Instant AI email replies, in one click

Twirly AI is a Chrome extension that saves you hours of email time. It reads your incoming emails and generates instant replies you can send in one click. You can also customize responses to sound more formal, technical, or detailed—no typing required. I built Twirly out of frustration with repetitive emailing at work. I found myself rewriting the same kind of responses over and over. Twirly uses AI to write responses that actually sound human—like something you’d send, not robotic templates. Whether you're handling client communication, internal updates, or just clearing inbox clutter, Twirly makes the whole process way faster and smoother.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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: inbox, email · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, 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
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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
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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