Co

Copilot sucks, so I fixed it

Hacker News

Copilot sucks, so I fixed it

Copilot sucks. Developers have tools like Cursor and Windsurf that integrate AI smoothly into their workflows. But for other professionals—people writing documents and emails all day—the experience is clunky at best. Copilot for Word feels like a demo. Outlook’s is barely usable. So most professionals just copy and paste their content into ChatGPT and back, just to get something polished. So I built Scrutiny. It's what Copilot should have been. I originally built it for myself but we are now seeing significant adoption across several large consulting firms and independent professionals. Try it for free here: www.usescrutiny.com Would love feedback, especially from folks who’ve tried Copilot and felt underwhelmed.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% 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: cursor, email, chatgpt · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, 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
45%45% 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 · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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