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ChartBear, an API to create chart images in seconds

Hacker News

ChartBear, an API to create chart images in seconds

A few months ago, I was asked to build a reporting Slack bot for our internal stakeholders. This bot, among other things, had to send them some charts. During my make-or-buy process, I evaluated some services, but I wasn't totally satisfied with any of them, mainly for two reasons: firstly, because in most of those services, the data is sent as query parameters, and since the data in my case are sensitive, I didn't want that. The second reason was that the rendered chart images were not as cool as I wanted. I'm the kind of person who likes beautiful things . So, I did some testing, and I realized there was room for a new API to create awesome charts in seconds. Therefore, I started drawing some wireframes of what would become ChartBear. Try it out for free, no login required!

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, new · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua · Missing: https docs, excited, just released
58%58% 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 · Strong signals: started, para · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, para · Missing: mobile apps, ios, personal
46%46% 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
18%18% 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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