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jpmonette

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1 points·by jpmonette·il y a 5 mois·0 comments

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1 points·by jpmonette·il y a 6 mois·0 comments

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1 points·by jpmonette·l’année dernière·0 comments

[untitled]

1 points·by jpmonette·l’année dernière·0 comments

comments

jpmonette
·il y a 5 mois·discuss
Lark Suite? https://www.larksuite.com/en_us/product/creation?from=subnav
jpmonette
·il y a 8 mois·discuss
phewphoria
jpmonette
·il y a 11 mois·discuss
will have a look!
jpmonette
·il y a 11 mois·discuss
Looks really nice! Any plan to add social aspect like comments, likes and such?
jpmonette
·il y a 12 mois·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
·l’année dernière·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
·l’année dernière·discuss
Oh wow that's pretty cool, been working on something similar to that for my local assembly!
jpmonette
·l’année dernière·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
·l’année dernière·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
·l’année dernière·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!