Add a Menu Bar to Your Screenshot with BarSnapp

Hacker News

Hey HN, I recently faced the challenge of adding a menu bar to my screenshots and found that there weren't any free tools specifically designed for this task. I had to use Canva and Figma, which felt like overkill for such a simple requirement. To solve this problem, I created Barsn, a straightforward web service that allows you to easily add a menu bar to your screenshots. The process is quick and user-friendly, eliminating the need for more complex design tools for this specific task. This is my second project as an indie hacker, and based on my previous experiences, I've decided to go with a one-time payment model for this tool, given its simplicity and focused functionality. I'd love to hear your feedback and thoughts on BarSnapp!

Visit product View on Hacker NewsJul 24, 2024

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Launch Intel predictions

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

87%87% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

33%33% 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, personal

27%27% 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

8%8% 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.

Correct prediction on native model

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