BARE : a minimalist chat concept for people fed up with data surveillance, data selling, and operational complexity of current players. We need a minimalist approach for current state of messaging apps

Current messaging applications are facing feature bloat, collect data and are becoming less usable with every passing day. Some applications respect privacy to an extend but then they face usability and feature bloat. So far there is no single service that can strike a good balance.

Hey PH community

Today s the day! PetWise is live on Product Hunt and I wanted to share the story here too.

Hey Product Hunt community!

I'm launching MortgageMeasure soon a free tool that helps homeowners and home buyers answer the classic question: should I pay off my mortgage early or invest that money instead?

Before launch day I'd love to hear from you:

• What's the most confusing part of mortgage math for you?

• Would you use a tool like this when buying a home or refinancing?

• What features would make this a go-to resource you'd bookmark and share?

How Six Years of Helping People Inspired a Multilingual AI Platform and a New Generation Social Network

At a time when most social networks compete primarily for user attention and artificial intelligence is rapidly becoming part of everyday life, one project is attempting to combine both technologies with a single goal: helping people.

I ve been working on a few things this past week and after finding incredible advice from fellow makers, I thought I'd discuss them here! I ve been talking to the people using Kestern every day, creatives, freelancers, small agencies and a lot of what's coming next came straight from those conversations. I d like to give a shoutout to Konstantin Borimechkov for sharing Paul Graham s essays here, as that s what gave me the idea to be so attentive to Kestern s users & it s worked wonders! I m making my way but I intend to read the entire lot. Working off the same idea, we launched a community discord server for Kestern users today. It's a place to talk, share what's working and more crucially, what isn't, and (upcoming) get early access to features we're building. Here s a link if you want to join BTW. On the product side, the no-login client portal is doing what it was built to do. We're keeping that front and centre while we work on what comes next (The product hunt launch!!)

If you're in the creative or service space handling client work and haven't checked us out yet: kestern.co.uk. I m looking forward to launching soon.

Most monitoring tools tell you when your site is down. PulseBoard tells you why.

I built PulseBoard because I was tired of getting alerts at 3 AM and spending hours digging through logs, CloudWatch, and GitHub commits just to figure out what went wrong.

Here's how it works:

Monitors your websites and APIs
Vigil AI investigates incidents automatically
Correlates failures with GitHub commits and deployments
Pulls AWS telemetry (EC2, RDS, ALB, Lambda, CloudWatch) and now Lightsail!
Scores commits by time, file relevance, deployment status, and infrastructure correlation
Filters out noise below a 40/100 threshold to save AI tokens
Shows you the evidence, not just a guess

We just shipped the first feature for oneinfer-edge and it's open source.
Ever copy a Hugging Face model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there.
oneinfer-edge now tells you if your machine can run any Hugging Face model before you deploy.
Paste a model ID, it scans your GPU, VRAM, OS, and serving libraries, gives you a Hardware Ready verdict and full memory breakdown (weights + KV cache + serving overhead).
No surprises at runtime.
Supports Apple Silicon (M1 to M5), NVIDIA (CUDA), AMD (ROCm), and serving libraries including Ollama, llama.cpp, SGLang, TensorRT-LLM, PyTorch and many more coming.
It tells you why something won't work, not just that it won't.
CPU support is something we're actively working through and feedback and contributions on that front are very welcome.
oneinfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale.
oneinfer-edge brings that same infrastructure intelligence to your local machine so self-hosting is a genuine alternative to managed cloud inference, not a debugging exercise.
We built this in the open because self-hosted AI infrastructure should belong to the community that runs it.
Star the repo: https://github.com/oneinfer/onei...
Report issues or request features: https://github.com/oneinfer/onei...
Learn more: https://oneinfer.ai/platform/one...
Drop us a star if this looks useful and PRs are wide open. We're just getting started.

Hi Product Hunt

I made a feature [ AI Response Cache Chatbot ] of [ airespaker ] AI Response Taker. Users can take AI response from system's cache, user's cache or directly from AI (Google Gemma). Users can take URIs of displaying AI response or screenshot of it. By tapping 'C' button, URI of displaying AI response is copied to clipboard. By tapping 'S' button, URI of screenshot of AI response is copied to clipboard.

Upload CSV data with coordinates, draw zones on a map, and instantly see aggregated metrics per territory. Overlaps detected automatically, drive-time analysis via Mapbox isochrones, built-in SQL console, report generation.

fieldr.studio. Thanks for any and all support!