Minimalist Recipie Site

Hacker News

A while back I had some spare time and wanted to try out nextjs and postgREST ( https://postgrest.org/en/v12/ ). The results is the www.foodbatch.com website. Now I don't know what to do with it.. I do use it myself, but I could have multiple subscriptions for the cost of hosting it.. Anyhow, it has left me with some questions. Since typical recipe sites are optimized for SEO, and this site is the anti-thesis of that. How do you actually attract traffic? Besides swallowing your pride and posting on HN. Also, is there a place for sites like this in our time or should we just give it up to the LLM overlords? Any feedback appreciated.

Visit product View on Hacker NewsJun 20, 2024

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Actual performance

4points

2comments

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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.

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

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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 · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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