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jpmonette

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1 points·by jpmonette·قبل 5 أشهر·0 comments

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1 points·by jpmonette·قبل 6 أشهر·0 comments

[untitled]

1 points·by jpmonette·السنة الماضية·0 comments

[untitled]

1 points·by jpmonette·السنة الماضية·0 comments

comments

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