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I Built ChatGPT into Microsoft Outlook
Hacker NewsI Built ChatGPT into Microsoft Outlook
Hi HN, After building a Cursor-style AI tool for Microsoft Word (now being rolled out across several consulting firms), I kept hearing the same request: “Can you do this for Outlook?” Apparently, a lot of professionals are still copy-pasting email threads into ChatGPT, then pasting responses back into Outlook. So I built it: Cursor for Microsoft Outlook It’s live and free to try: www.usescrutiny.com Would love your thoughts, feedback, or questions. — Dale
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Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, email, chatgpt · Missing: mac, agents, macos77%77% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% 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, revenue16%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, cryptocurrency3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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