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1000 results for “localfirst”
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“A Local-First Case Study” by @jakelazaroff
🔗 https://jakelazaroff.com/words/a-local-first-case-study/
> It helps a lot that various libraries in the ecosystem compose well. Just snapping together ProseMirror, Yjs and Y-Sweet gave me a collaborative rich text editor with shared cursors. Adding in `yjs-indexeddb` made it work offline. This was all mostly out of the box, with very little setup; the degree to which everything Just Works is…
⚓️ https://nicolas-hoizey.com/links/2024/10/07/a-local-first-case-study/
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“A Local-First Case Study” by @jakelazaroff
🔗 https://jakelazaroff.com/words/a-local-first-case-study/
> It helps a lot that various libraries in the ecosystem compose well. Just snapping together ProseMirror, Yjs and Y-Sweet gave me a collaborative rich text editor with shared cursors. Adding in `yjs-indexeddb` made it work offline. This was all mostly out of the box, with very little setup; the degree to which everything Just Works is…
⚓️ https://nicolas-hoizey.com/links/2024/10/07/a-local-first-case-study/
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iOS local first AI already hard at work showcasing #causalislands
“At the Show #Toronto” featuring Michael R. Bernstein, TARGET PERSONA https://www.causalislands.com/sessions/the-hardest-problem-in-computer-science-marketing
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iOS local first AI already hard at work showcasing #causalislands
“At the Show #Toronto” featuring Michael R. Bernstein, TARGET PERSONA https://www.causalislands.com/sessions/the-hardest-problem-in-computer-science-marketing
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iOS local first AI already hard at work showcasing #causalislands
“At the Show #Toronto” featuring Michael R. Bernstein, TARGET PERSONA https://www.causalislands.com/sessions/the-hardest-problem-in-computer-science-marketing
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iOS local first AI already hard at work showcasing #causalislands
“At the Show #Toronto” featuring Michael R. Bernstein, TARGET PERSONA https://www.causalislands.com/sessions/the-hardest-problem-in-computer-science-marketing
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iOS local first AI already hard at work showcasing #causalislands
“At the Show #Toronto” featuring Michael R. Bernstein, TARGET PERSONA https://www.causalislands.com/sessions/the-hardest-problem-in-computer-science-marketing
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OpenFlowKit: Il #tool #OpenSource Local-First che unisce Diagram-as-Code e AI
#intelligenzaArtificiale @tecnologia @opensourcehttps://webappsmagazine.blogspot.com/2026/05/openflowkit-il-tool-open-source-local.html
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Show HN: OpenBrief – Local-first video downloader/summarizer
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Show HN: OpenBrief – Local-first video downloader/summarizer
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Show HN: OpenBrief – Local-first video downloader/summarizer
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Show HN: OpenBrief – Local-first video downloader/summarizer
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Show HN: OpenBrief – Local-first video downloader/summarizer
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Unlock WhatsApp Data with Local Analytics Dashboard
Most people think of WhatsApp as “just messaging.”
But after years of conversations, support threads, customer discussions, team coordination, and random life moments… it quietly becomes one of the richest personal datasets you own.
So I built wacrawl-ui — a local analytics dashboard for WhatsApp archives generated by wacrawl.
The idea is simple:
- Your data stays local
- No cloud sync
- No browser extension
- No scraping APIs
- No “AI magic” uploading your chats somewhere
Just a fast local dashboard on top of SQLite.
What’s inside:
- Full-text search (FTS5) – It’s working quite fast. Even on ~100k messages.
- Messaging activity analytics
- Contact insights
- Media browsing
- Response-time patterns
- Word clouds
- Group activity stats
- Read-only local API
- React + Vite frontend
- Express backend
- Zero external dependencies once running – You only need to make sure you run ‘wacrawl sync‘ before.
A few things I found interesting while building it:
- SQLite is still absurdly powerful
People underestimate what you can do locally with FTS indexes and good schema design. - “Local-first” UX matters more than ever
We’ve normalized uploading deeply personal data to random SaaS products. We should challenge that assumption. - Personal analytics is an untapped category
Not surveillance. Not ad targeting.
Tools that help you understand your own data. - Read-only architectures reduce risk dramatically
The app intentionally avoids mutation flows. That constraint simplified security and reliability decisions across the stack.
The whole thing runs with one line:
npx wacrawl-dashboard@latestNo complicated setup.
Still early, but I think there’s a broader shift happening toward:
- local AI – Ollama for the win.
- local analytics – secure, private and handy.
- local search – that works fast.
- user-owned datasets – It’s not for everyone, but it’s useful.
Well, that future feels healthier.
Feel free to check the repo: github.com/greenido/wacrawl-ui and contribute.
Be strong.
Rate this:
#dashboard #Developer #JS #LLM #localAi #whatsapp -
Unlock WhatsApp Data with Local Analytics Dashboard
Most people think of WhatsApp as “just messaging.”
But after years of conversations, support threads, customer discussions, team coordination, and random life moments… it quietly becomes one of the richest personal datasets you own.
So I built wacrawl-ui — a local analytics dashboard for WhatsApp archives generated by wacrawl.
The idea is simple:
- Your data stays local
- No cloud sync
- No browser extension
- No scraping APIs
- No “AI magic” uploading your chats somewhere
Just a fast local dashboard on top of SQLite.
What’s inside:
- Full-text search (FTS5) – It’s working quite fast. Even on ~100k messages.
- Messaging activity analytics
- Contact insights
- Media browsing
- Response-time patterns
- Word clouds
- Group activity stats
- Read-only local API
- React + Vite frontend
- Express backend
- Zero external dependencies once running – You only need to make sure you run ‘wacrawl sync‘ before.
A few things I found interesting while building it:
- SQLite is still absurdly powerful
People underestimate what you can do locally with FTS indexes and good schema design. - “Local-first” UX matters more than ever
We’ve normalized uploading deeply personal data to random SaaS products. We should challenge that assumption. - Personal analytics is an untapped category
Not surveillance. Not ad targeting.
Tools that help you understand your own data. - Read-only architectures reduce risk dramatically
The app intentionally avoids mutation flows. That constraint simplified security and reliability decisions across the stack.
The whole thing runs with one line:
npx wacrawl-dashboard@latestNo complicated setup.
Still early, but I think there’s a broader shift happening toward:
- local AI – Ollama for the win.
- local analytics – secure, private and handy.
- local search – that works fast.
- user-owned datasets – It’s not for everyone, but it’s useful.
Well, that future feels healthier.
Feel free to check the repo: github.com/greenido/wacrawl-ui and contribute.
Be strong.
#dashboard #Developer #JS #LLM #localAi #whatsapp -
Unlock WhatsApp Data with Local Analytics Dashboard
Most people think of WhatsApp as “just messaging.”
But after years of conversations, support threads, customer discussions, team coordination, and random life moments… it quietly becomes one of the richest personal datasets you own.
So I built wacrawl-ui — a local analytics dashboard for WhatsApp archives generated by wacrawl.
The idea is simple:
- Your data stays local
- No cloud sync
- No browser extension
- No scraping APIs
- No “AI magic” uploading your chats somewhere
Just a fast local dashboard on top of SQLite.
What’s inside:
- Full-text search (FTS5) – It’s working quite fast. Even on ~100k messages.
- Messaging activity analytics
- Contact insights
- Media browsing
- Response-time patterns
- Word clouds
- Group activity stats
- Read-only local API
- React + Vite frontend
- Express backend
- Zero external dependencies once running – You only need to make sure you run ‘wacrawl sync‘ before.
A few things I found interesting while building it:
- SQLite is still absurdly powerful
People underestimate what you can do locally with FTS indexes and good schema design. - “Local-first” UX matters more than ever
We’ve normalized uploading deeply personal data to random SaaS products. We should challenge that assumption. - Personal analytics is an untapped category
Not surveillance. Not ad targeting.
Tools that help you understand your own data. - Read-only architectures reduce risk dramatically
The app intentionally avoids mutation flows. That constraint simplified security and reliability decisions across the stack.
The whole thing runs with one line:
npx wacrawl-dashboard@latestNo complicated setup.
Still early, but I think there’s a broader shift happening toward:
- local AI – Ollama for the win.
- local analytics – secure, private and handy.
- local search – that works fast.
- user-owned datasets – It’s not for everyone, but it’s useful.
Well, that future feels healthier.
Feel free to check the repo: github.com/greenido/wacrawl-ui and contribute.
Be strong.
Rate this:
#dashboard #Developer #JS #LLM #localAi #whatsapp -
Unlock WhatsApp Data with Local Analytics Dashboard
Most people think of WhatsApp as “just messaging.”
But after years of conversations, support threads, customer discussions, team coordination, and random life moments… it quietly becomes one of the richest personal datasets you own.
So I built wacrawl-ui — a local analytics dashboard for WhatsApp archives generated by wacrawl.
The idea is simple:
- Your data stays local
- No cloud sync
- No browser extension
- No scraping APIs
- No “AI magic” uploading your chats somewhere
Just a fast local dashboard on top of SQLite.
What’s inside:
- Full-text search (FTS5) – It’s working quite fast. Even on ~100k messages.
- Messaging activity analytics
- Contact insights
- Media browsing
- Response-time patterns
- Word clouds
- Group activity stats
- Read-only local API
- React + Vite frontend
- Express backend
- Zero external dependencies once running – You only need to make sure you run ‘wacrawl sync‘ before.
A few things I found interesting while building it:
- SQLite is still absurdly powerful
People underestimate what you can do locally with FTS indexes and good schema design. - “Local-first” UX matters more than ever
We’ve normalized uploading deeply personal data to random SaaS products. We should challenge that assumption. - Personal analytics is an untapped category
Not surveillance. Not ad targeting.
Tools that help you understand your own data. - Read-only architectures reduce risk dramatically
The app intentionally avoids mutation flows. That constraint simplified security and reliability decisions across the stack.
The whole thing runs with one line:
npx wacrawl-dashboard@latestNo complicated setup.
Still early, but I think there’s a broader shift happening toward:
- local AI – Ollama for the win.
- local analytics – secure, private and handy.
- local search – that works fast.
- user-owned datasets – It’s not for everyone, but it’s useful.
Well, that future feels healthier.
Feel free to check the repo: github.com/greenido/wacrawl-ui and contribute.
Be strong.
Rate this:
#dashboard #Developer #JS #LLM #localAi #whatsapp -
Grok Build: xAI's Local-First Coding Agent with 8 Parallel Agents and Arena Mode — Complete Guide (April 2026)
xAI's Grok Build runs up to eight parallel AI agents simultaneously on a single prompt, evaluates outputs algorithmically via Arena Mode, and keeps all source code on-device. Th...
https://wowhow.cloud/blogs/grok-build-xai-local-first-parallel-agents-arena-mode-complete-guide-2026
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The Architecture Of Local-First Web Development — Smashing Magazine
https://www.smashingmagazine.com/2026/05/architecture-local-first-web-development/ #veille #webdev #development #privacy -
Thoth – open-source Local-first AI Assistant
https://github.com/siddsachar/Thoth
#HackerNews #Thoth #AI #local-first #open-source #assistant
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Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧
Canonical frames AI as opt-in and sandboxed.
Would you want AI features built into your OS like this, or kept separate? 🔒🔗 https://itsfoss.com/news/ubuntu-is-getting-ai/
#TechNews #Ubuntu #Linux #AI #ArtificialIntelligence #OpenSource #Privacy #LocalAI #Canonical #Snaps #MachineLearning #FOSS #OnDeviceAI #DigitalRights
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Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧
Canonical frames AI as opt-in and sandboxed.
Would you want AI features built into your OS like this, or kept separate? 🔒🔗 https://itsfoss.com/news/ubuntu-is-getting-ai/
#TechNews #Ubuntu #Linux #AI #ArtificialIntelligence #OpenSource #Privacy #LocalAI #Canonical #Snaps #MachineLearning #FOSS #OnDeviceAI #DigitalRights
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Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧
Canonical frames AI as opt-in and sandboxed.
Would you want AI features built into your OS like this, or kept separate? 🔒🔗 https://itsfoss.com/news/ubuntu-is-getting-ai/
#TechNews #Ubuntu #Linux #AI #ArtificialIntelligence #OpenSource #Privacy #LocalAI #Canonical #Snaps #MachineLearning #FOSS #OnDeviceAI #DigitalRights
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Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧
Canonical frames AI as opt-in and sandboxed.
Would you want AI features built into your OS like this, or kept separate? 🔒🔗 https://itsfoss.com/news/ubuntu-is-getting-ai/
#TechNews #Ubuntu #Linux #AI #ArtificialIntelligence #OpenSource #Privacy #LocalAI #Canonical #Snaps #MachineLearning #FOSS #OnDeviceAI #DigitalRights
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Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧
Canonical frames AI as opt-in and sandboxed.
Would you want AI features built into your OS like this, or kept separate? 🔒🔗 https://itsfoss.com/news/ubuntu-is-getting-ai/
#TechNews #Ubuntu #Linux #AI #ArtificialIntelligence #OpenSource #Privacy #LocalAI #Canonical #Snaps #MachineLearning #FOSS #OnDeviceAI #DigitalRights
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New blog post: A local-first sync setup for a markdown-based feed reader
https://crocidb.com/post/a-local-first-sync-setup-for-a-markdown-based-feed-reader/
#linux #bulletty #syncing #self-hosting #tailscale
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ArtemisFlow is a local-first job tracker built for tech candidates. No accounts, no backend, and no external database. https://hackernoon.com/artemisflow-a-local-first-job-tracker-i-built #jobhunting
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Open Codex CLI: Local-First AI Coding CLI Emerges As Alternative to OpenAI Codex CLI
#OpenCodex #AICoding #LLM #LocalLLM #OpenSource #DeveloperTools #CLI #Python #Phi4Mini #Terminal #AI #CodingAssistant #CommandLine
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Discover Dimple 🎵 - a local-first, cross-platform music player!
🦀 Built with Rust and #MadeWithSlint for a fast, beautiful UI.
🎧 Stream, sync, and enjoy your music!
🔗 https://github.com/vonnieda/dimple -
Talk about "local-first" software. Funny that it has a name since all software should be like that (but the Power of the Cloud is so Strong that, when you don't depend on the cloud, you need a catchy name to describe that).