I’

I’m building an uniform blockchain API service

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I’m building an uniform blockchain API service

I have to interact with a lot of blockchains in my work and it is really painful. They have different structures, different endpoints, return a lot of noise (transactions that are not value transfers) and existing API services are PITA as well. So I built my own service in hopes it will make someone's life a little bit easier, I learn something new and if that doesn’t work out I’ll have a bunch of code to show when looking for another job in the future. My primary goal was to make the API uniform, regardless how the data look like on the underlying blockchain. I haven’t seen that in any APIs we use. They give you uniform endpoints, somewhat similar data structures but they are never uniform and you have to write blockchain-specific code to get the information you look for. I understand that they might want to return data for all transactions - and you can’t do that reasonably well for all blockchains in uniform format. But I think they do not understand what their customers care about - the value transfers, not a bunch of misc transactions. Another thing that bothered me in existing API services - they don’t let you interact with their API through your browser. You can’t have a quick glance at how responses look like. First you have to sign up, then get a token and finally either POST to the endpoint or include an api key in request headers. That’s why I built the simple preview box on the front page to let users see the responses immediately. Additionally, Stocra api keys can be passed in the query string or in the headers. Let me know your thoughts!

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
70%70% 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
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
26%26% 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
16%16% 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.

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