Some of my tools, may be usable for you

Hacker News

Hey everyone! I’ve developed a few tools that I wanted to share with the community: https://clipush.deno.dev A simple way to send web push notifications using cURL, making the process much easier to integrate into your workflow. (An experiment for personal usage.) https://request-bin.deno.dev A tool that acts as a real-time HTTP request debugger with SSE logging to track and analyze requests efficiently. (Created after requestb.in introduced limits on free accounts. Personally used for testing webhooks.) https://lock-states.deno.dev A service to manage lock states across distributed systems, helping to ensure consistency in shared resources. (Personally used in my CI/CD pipelines to handle asynchronous tasks and wait until they are done.) The UI on these services is quite limited, but they're just simple tools ;-) Let me know if you find them useful!

Visit product View on Hacker NewsNov 30, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, efficiently · Missing: supports, reddit linkedin, podcasting

70%70% 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: tasks, using · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% 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 · Strong signals: efficient · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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