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Intercept.rest – Faster API debugging

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Intercept.rest – Faster API debugging

Sharing an internal tool that accelerated my development work 10-fold, especially with API debugging. Thought fellow developers here might find it useful. As a developer, I often have trouble reproducing errors at the client end. https://intercept.rest lets me debug and monitor API requests and responses. It is similar to the Network tab in Chrome Developer Tools but works for any API: mobile apps, webhooks, frontend etc. After I shared it with a close circle of friends, they found it incredibly useful and even found new use cases, I never imagined. Been a long time lurker here and have found several such tools that made my life easier. So, wanted to share this here and keen to hear if you folks find it useful too. Some of the Use cases (Look forward to other use cases for this tool): - Reproduce error requests at client side, helps to debug faster. – Easily switch between mock, dev, staging and production – You can even record requests and run load tests to see how your server behaves when 100,000 hit it – debug/monitor webhooks. – Share requests with the backend team for debugging. If you would like to take it for spin, DM me at https://twitter.com/intercept_rest , I can hook you up with credits. Also made a blog post on how this tool could be used to monitor network requests in real time. https://medium.com/intercept-rest/how-to-monitor-network-req... Let me know what you think :) Happy Developing!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new · 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: ide, 000, io · Missing: https docs, excited, just released
72%72% 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
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: mobile apps, apps · Missing: ios, personal, entrepreneurs
49%49% 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
23%23% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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