I

I built ReplyFast an AI powered tool to write faster and better emails

Hacker News

I built ReplyFast an AI powered tool to write faster and better emails

Hi Hacker News I’m a solo developer passionate about productivity. Over the past few months, I built ReplyFast, an AI powered email assistant that helps you draft replies, generate ideas, and improve your writing in seconds Unlike generic writing tools, ReplyFast focuses on speeding up email responses by suggesting concise and relevant answers tailored to your context. It supports multiple languages and lets you easily customize tone and style I created this tool because I often spent too much time stuck on email replies and wanted a simple yet powerful assistant to speed up the process without losing personalization I’d love your feedback on the tool — what works, what can be improved, or any feature ideas. Feel free to try it out and let me know what you think Thanks [Tom]

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Actual performance

2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex
88%88% 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: new, email, context · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, month, answers · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
44%44% 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
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.

Correct prediction on native model

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