WAPM – WebAssembly Package Manager

Hacker News

Hi HN! I’m Syrus, from the Wasmer team. We just released the new version of WAPM that is an order of magnitude better than the previous one (that we also announced here in HN two years ago! [0]), enabling an incredible experience for using and publishing WebAssembly packages. The tech stack that we are using includes: * Python and Django (for the backend) with Graphene (for the open GraphQL API [1]) and Django Channels with websockets over GraphQL [2] for subscriptions * Next.js [3] with React-Relay [4] and Tailwind.css [5] for the frontend * WebAssembly and Wasmer [6] (for the online shell) Vercel for serving the frontend and GCP for serving the backend. Please let me know if you have any questions, I’d be very happy to answer them!

Visit product View on Hacker NewsMar 2, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% 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

33%33% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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