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Serverless Hosting Price Calculator

Hacker News

Serverless Hosting Price Calculator

I made a calculator to estimate costs for hosting my website with serverless hosting. It can be hard to estimate the number of requests your site generates per month, but if you can guesstimate that then you can get an estimate for costs aswell. I got other calculators that are also for things I’ve researched for my own needs, and I made a site to hopefully help others aswell. Data gathering is done manually by me at the moment. So far I’ve got calculators for auth, analytics, newsletters, s3, postgresql, images, emails, llm apis and serverless hosting. More is coming! Thinking of adding APIs for accepting new providers and for updating prices for providers.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide · 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.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, email, apis · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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