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Air Lab – A portable and open air quality measuring device (Score: 152+ in 4 hours)

Link: https://readhacker.news/s/6vCZb
Comments: https://readhacker.news/c/6vCZb
Show HN: GPT image editing, but for 3D models (Score: 150+ in 19 hours)

Link: https://readhacker.news/s/6vAHY
Comments: https://readhacker.news/c/6vAHY

Hey HN!
I’m Zach one of the co-founders of Adam (https://www.adamcad.com). We're building AI-powered tools for CAD and 3D modeling [1].
We’ve recently been exploring a new way to bring GPT-style image editing directly into 3D model generation and are excited to showcase this in our web-app today. We’re calling it creative mode and are intrigued by the fun use cases this could create by making 3D generation more conversational!
For example you can put a prompt in such as “an elephant” then follow it up by “have it ride a skateboard” and it preserves the context, identity and maintains consistency with the previous model. We believe this lends itself better to an iterative design process when prototyping creative 3D assets or models for printing.
We’re offering everyone 10 free generations to start (ramping up soon!). Here’s a short video explaining how it works: https://www.loom.com/share/cf9ab91375374a4f93d6cc89619a043b
We’d also love you to try our parametric mode (free!) which uses LLMs to create a conversational interface for solid modeling as touched on in a recent HN thread [2]. We are leveraging the code generation capabilities of these models to generate OpenSCAD code (an open-source script based CAD) and are surfacing the variables as sliders the user can toggle to adjust their design. We hope this can give a glimpse into what it could be like to “vibe-CAD”. We will soon be releasing our results on Will Patrick's Text to CAD eval [3] and adding B-rep compatible export!
We’d love to hear what you think and where we should take this next :)
[1]https://x.com/zachdive/status/1882858765613228287
[2]https://news.ycombinator.com/item?id=43774990
[3]https://willpatrick.xyz/technology/2025/04/23/teaching-llms-...
The impossible predicament of the death newts (🔥 Score: 152+ in 2 hours)

Link: https://readhacker.news/s/6vDJ6
Comments: https://readhacker.news/c/6vDJ6
Twitter's new encrypted DMs aren't better than the old ones (Score: 153+ in 5 hours)

Link: https://readhacker.news/s/6vDHz
Comments: https://readhacker.news/c/6vDHz
Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX (Score: 151+ in 5 hours)

Link: https://readhacker.news/s/6vEw4
Comments: https://readhacker.news/c/6vEw4

Hey HN! Mike & Warren here from HyperDX (now part of ClickHouse)! We’ve been building ClickStack, an open source observability stack that helps you collect, centralize, search/viz/alert on your telemetry (logs, metrics, traces) in just a few minutes - all powered by ClickHouse (Apache2) for storage, HyperDX (MIT) for visualization and OpenTelemetry (Apache2) for ingestion.
You can check out the quick start for spinning things up in the repo here: https://github.com/hyperdxio/hyperdx
ClickStack makes it really easy to instrument your application so you can go from bug reports of “my checkout didn’t go through” to a session replay of the user, backend API calls, to DB queries and infrastructure metrics related to that specific request in a single view.
For those that might be migrating from Very Expensive Observability Vendor (TM) to something open source, more performant, and doesn’t require extensive culling of retention limits and sampling rates - ClickStack gives a batteries-included way of starting that migration journey.
For those that aren’t familiar with ClickHouse, it’s a high performance database that has already been used by companies such as Anthropic, Cloudflare, and DoorDash to power their core observability at scale due to its flexibility, ease of use, and cost effectiveness. However, this required teams to dedicate engineers to building a custom observability stack, where it’s difficult to not only get their telemetry data easily into ClickHouse but also struggling without a native UI experience.
That’s why we’re building ClickStack - we wanted to bundle an easy way to get started ingesting your telemetry data whether it’s logs & traces from Node.js or Ruby to metrics from Kubernetes or your bare metal infrastructure. Just as important we wanted our users to enjoy a visualization experience that allowed users to quickly search using a familiar lucene-like search syntax (similar to what you’d use in Google!). We recognise though, that a SQL mode is needed for the most complex of queries. We've also added high cardinality outlier analysis by charting the delta between outlier and inlier events - which we've found really helpful in narrowing down causes of regressions/anomalies in our traces as well as log patterns to condense down clusters of similar logs.
We’re really excited about the roadmap ahead in terms of improving ClickStack as a product and the ClickHouse core database to improve observability. Would love to hear everyone’s feedback and what they think!
Spinning up a container is pretty simple: `docker run -p 8080:8080 -p 4317:4317 -p 4318:4318 docker.hyperdx.io/hyperdx/hyperdx-all-in-one`
In browser live demo (no sign ups or anything silly, it runs fully in your browser!): https://play.hyperdx.io/ Landing Page: https://clickhouse.com/o11y Github Repo: https://github.com/hyperdxio/hyperdx
Discord community: https://hyperdx.io/discord
Docs: https://clickhouse.com/docs/use-cases/observability/clicksta...
I do not remember my life and it's fine (Score: 150+ in 6 hours)

Link: https://readhacker.news/s/6vFiA
Comments: https://readhacker.news/c/6vFiA
Self-hosting your own media considered harmful according to YouTube (🔥 Score: 160+ in 1 hour)

Link: https://readhacker.news/s/6vFJN
Comments: https://readhacker.news/c/6vFJN