Teig.pro is an interactive dough calculator

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Hi! I built an interactive recipe builder (particularly for dough recipes). I bake a fair amount of bread and use it, along with the more primitive version on my personal blog, to simplify dough calculations. A friend urged me to share it with HN, so here it is. https://teig.pro Some technical details which may be interesting to this audience: - The recipes, apart from a handful of hard coded examples, are fully encoded in query parameters. This comes with problems (like a browser-specific character limit), but in the context of a recipe I consider these edge cases. - The body supports Markdown, but sanitizes the HTML with DOMPurify. This limits some of the most obvious attack vectors like including a malicious <script> tag in the body and sharing the link. I'm sure it's far from perfect and would greatly appreciate any tips to improve security! - Using Cloudflare cache rules, all recipes are cached at edge. This keeps load on the underlying Fly servers quite low and will hopefully keep my hosting costs even lower. Enjoy!

Visit product View on Hacker NewsOct 7, 2023

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

74%74% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host, builder · Missing: plus, platform, intuitive

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: context, using, code · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, para · Missing: mobile apps, ios, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

12%12% 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.

Incorrect prediction on native model

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