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Extend your platform via custom code with Deno Subhosting

Hacker News

Extend your platform via custom code with Deno Subhosting

Hey all, Andy from the Deno team here. We're excited to share with you Deno Subhosting, an easy way to extend your platforms functionality by securely running untrusted JavaScript written by your users. When we first launched Deno Deploy in 2021, we were surprised at the volume of requests from companies about getting access to the APIs needed to run Deno Deploy. Many companies wanted to give their users the ability to write custom logic in their app, but setting this up in the cloud presents security concerns and a ton of infra work/maintenance. We realized that there was an opportunity for Subhosting to solve a larger problem, which is allowing companies to easily and securely run custom code written by their users, without the hassle of maintaining said infrastructure. Though we do have a few subhosting customers (Netlify being one of them), this launch makes our Subhosting product self-service, so any development team interested in extending their platform via their users' custom code can do so by signing up and reading our docs. We have an updated pricing model for Subhosting as well, including a generous free tier fit for kicking the tires and building a proof-of-concept. We'd love to get your feed back. Have you ever talked to your co-workers about allowing external devs to "have at it" with your platform? What would it look like to unlock the final 10% for your top customers? How have you approached this problem in the past? Thanks for reading and the Deno team will be responding to comments!

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
88%88% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, code · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io, including · Missing: https docs, just released, exist
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% 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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