Developer Tools6 days ago
RLMlocal — Beyond coding tools
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
The full gallery
Tech stack
60 projects
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
Visualize and predict weather with on-device calculations and custom aggregation modes.
__mp · HN
I built my own weather prediction / visualization app: https://wx.rsp.li (on-device temperature lapsing, on device interpolation modes, user-selectable aggregations, etc…). One of these days I should do a writeup. I also asked Claude to build a photo gallery for me https://places.pascalspoerri.ch (HDR, map support, similar images)
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
Centralize customer feedback, prioritize with public voting, and share interactive product roadmaps.
@himanshu_b20 · X
Build personalized learning paths and track progress in your developer career.
@dipanshurdev
Free AI image and video editor that works instantly in your web browser.
Imgkits — 全能 AI 图像、视频编辑器：使用 Imgkits 创建令人惊艳的照片和视频 - [更多功能](https://www.imgkits.com/create/image)
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Spin the globe to find the world's sunniest, warmest, or rainiest places across 3,800+ destinations.
@Flightmussy · X
Advanced Content Ecosystem Tracking and Creator Analytics Platform
@BuiltByAmar · X
Organize jobsite photos and videos by project with GPS, timestamps, and auto-generate PDF reports.
@12squaredAI · X
| @fieldcam_app
A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
Real-time tracking of Indian Railways trains with live maps and PNR status checks.
@japangor · X
I wanted FlightRadar24 for trains — no one was tracking Indian railways in real time, so I built it myself.