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PinkArrows – An open-source Skitch alternative on the web

Hacker News

PinkArrows – An open-source Skitch alternative on the web

I really loved Skitch. In fact, the pink Skitch arrows and dumbed-down text became a trademark of mine in multiple jobs. In a sea of text on Slack and email, Skitch annotations are a refreshing way to make a single, obvious, and easy to digest point. Since Skitch shut down, I've looked for multiple alternatives that are: Free-ish, have similar styling, and are lightweight (no signin, no server syncing). I didn't find any, so I built PinkArrows. Live version at https://pinkarrows.app

Visit productView on Hacker NewsAug 18, 2024
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, email, single · Missing: mac, agents, macos
85%85% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
61%61% 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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