Keyboard-first tool to type and create fast

Hacker News

A little while back I shared an early version of this tool here and got some amazing feedback—really grateful for that. Based on those suggestions, I’ve made a bunch of changes and wanted to share where it’s at now. Quickpoint: https://quickpoint.me It’s a lightweight tool for quickly putting structured thoughts into words—no tabs, no distractions, just type and share. People have used it as a note-taking scratchpad, for outlining ideas, drafting specs, even demo notes. I’m still figuring out who this actually clicks for. You can see the homepage, try it out, take the demo, or whatever you want. I'm wondering the following- -What do you think it is? -Could you see yourself using it? If not, why not? -What would keep you from using it more than once? Just trying to better understand who it helps and how to shape it accordingly. Would love any thoughts. Thanks in advance!

Visit product View on Hacker NewsMay 22, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, notes · Missing: mac, agents, macos

82%82% 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, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

55%55% 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

45%45% 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

29%29% 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

14%14% 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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