Ed

Edge-CSRF – CSRF protection at the edge (Next.js, SvelteKit)

Hacker News

Edge-CSRF – CSRF protection at the edge (Next.js, SvelteKit)

This is a small JavaScript library that implements CSRF protection for Next.js and SvelteKit except it only uses edge runtime dependencies so it can be used in both node environments and edge functions (e.g. Vercel Edge Functions, Cloudflare Page Functions). I just launched V2 with support for SvelteKit and it would be useful to get some feedback from HN security folks before adding more framework integrations and developing this further.

Visit product View on Hacker NewsApr 24, 2024

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

42%42% 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

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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