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jpmonette

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1 points·by jpmonette·5 months ago·0 comments

[untitled]

1 points·by jpmonette·6 months ago·0 comments

[untitled]

1 points·by jpmonette·last year·0 comments

[untitled]

1 points·by jpmonette·last year·0 comments

comments

jpmonette
·5 months ago·discuss
Lark Suite? https://www.larksuite.com/en_us/product/creation?from=subnav
jpmonette
·8 months ago·discuss
phewphoria
jpmonette
·11 months ago·discuss
will have a look!
jpmonette
·11 months ago·discuss
Looks really nice! Any plan to add social aspect like comments, likes and such?
jpmonette
·12 months ago·discuss
Fish is the way to go! Used to be a fan of ZSH but also struggled with performance issues. No performance issue with Fish! Only issue might be plugins / some copy/paste bash stuff, but it's so worth the performance.
jpmonette
·last year·discuss
SEEKING WORK | London, UK | Remote preferred | Full-Stack Engineer

I’m a full-stack engineer with 10+ years of experience building scalable apps and shipping products end-to-end for startups and Fortune 500s (healthtech, pharma, SaaS). I specialize in React, TypeScript, Node.js, AWS.

Recently led engineering on MapLab (Komodo Health), a patient data analytics platform.

I also:

- Speak English & French, and communicate well with product/design - Won AI & crypto hackathons (Solana, Filecoin, ETHGlobal) - Contributed to Salesforce’s React Native SDK (TypeScript migration)

Tech: React, Next.js, Node.js, GraphQL, Terraform, Docker, AWS, GitHub Actions, Salesforce, ChatGPT, HuggingFace

- hn at jpmonette [dot] net
jpmonette
·last year·discuss
Oh wow that's pretty cool, been working on something similar to that for my local assembly!
jpmonette
·last year·discuss
Have you tried push notifications through a PWA? Not sure it works but could skip the need for Twilio & £20 budget!

https://push.foo/
jpmonette
·last year·discuss
Looks quite relevant for Vision Pro, transparent screens, AR and such. I think that's the rational. Maybe a transparent iPhone screen coming up?
jpmonette
·last year·discuss
You can also do the same with OpenAI Codex (with Ollama for example):

1. ~ codex --provider ollama 2. Run: /model 3. Pick your model 4. Profit!