Do

Don't Lose Your Cool – Use this when your coworkers piss you off

Hacker News

Don't Lose Your Cool – Use this when your coworkers piss you off

Hi HN, I've been tinkering with GPT-3 over the past week and it's inspiring a bunch of fun ideas. And this lil toy app is one of them: It basically turns that angry email or Slack message you want to send to that co-worker that's gotten on your last nerve into something more polite and professional. It lets you say what you mean without losing your cool (or your job). Released it on Twitter last night[0] and got a nice response from people. So I figured I should share it on HN. Currently ~100 messages have been sent on my app in the past 12 hours. Pretty neat :) [0] https://twitter.com/antdke/status/1608717888290172933?s=20

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: slack, email · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
20%20% 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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