Feed aggregator

I'm a CS student at PES University and over the last few months I built Pulse, a free API uptime monitor. I wanted to share what I built and genuinely ask for advice on distribution because I'm stuck.

I wasn't happy with how existing free monitors handle incidents. They tell you something is down but give you nothing to debug with. So I focused on making Pulse actually useful after an alert fires.

What I built:

Root cause analysis — breaks every failed request into DNS lookup, TCP connect, TLS handshake, and TTFB stages, compares each against the historical baseline, and tells you which stage failed with a confidence score and plain-English suggestion.

Health scoring — 0-100 score per monitor based on uptime, response time trends, and variance. Lets you see degradation happening before actual downtime.

Anomaly detection — warns when response time is consistently 2x the 7-day baseline across 3 consecutive pings.

Auto incident reports — generates a post-mortem after every recovery with timeline, response time comparison, and impact estimate.

Rich alerts — Discord, Slack, and push notifications include status code, response time at failure, and a direct link to the incident.

All free, 5 monitors, no credit card.

The problem: I've posted on Reddit but my account keeps getting filtered. I have zero users outside of people I know personally. I don't have a marketing budget and I'm not sure where developers who actually care about monitoring hang out.

Specific questions I'm stuck on: - Is the root cause analysis angle actually a meaningful differentiator or is it a nice-to-have? - Where would you go to find devops engineers or backend developers who would genuinely care about this? - Is free-with-Pro-coming the right model or does free just attract people who will never pay?

Any honest feedback appreciated, including if the product itself has obvious problems I'm not seeing. Link to my project in my about me, or just ask in comments :).

Comments URL: https://news.ycombinator.com/item?id=47346317

Points: 1

# Comments: 1

Just got an email from Porkbun

> We have been made aware that the registry behind the .ORG domain extension is increasing pricing industry-wide at 00:00 UTC on June 1, 2026.

> Based on the wholesale increase, we expect our current standard domain price for .ORG domain names to increase from $10.74 to between $13-14.

Comments URL: https://news.ycombinator.com/item?id=47346311

Points: 4

# Comments: 2

Hi HN,

I built AutoICD, an AI-powered clinical coding platform that converts unstructured medical text into ICD-10 and SNOMED-CT codes. This is not an LLM wrapper. The platform uses a multi-layer machine learning architecture internally, combining custom-trained models with curated medical knowledge.

Platform and tooling:

- JS SDK – https://github.com/fcggamou/autoicd-js - Python SDK – https://github.com/fcggamou/autoicd-python - MCP Server – https://github.com/fcggamou/autoicd-mcp

Use cases and benefits:

- Automated ICD-10 and SNOMED coding from clinical notes - Creation of structured datasets for research and analytics - Integration with AI assistants via MCP - Scalable pipelines optimized for real-world healthcare data - Access to ICD-10 codes and metadata programmatically

Feedback from anyone working on medical AI, clinical NLP, or MCP tooling is welcome.

Comments URL: https://news.ycombinator.com/item?id=47346296

Points: 1

# Comments: 0

Article URL: https://www.nbcnewyork.com/news/david-protein-bar-calories-class-action-lawsuit/6475387/

Comments URL: https://news.ycombinator.com/item?id=47346280

Points: 2

# Comments: 1

Article URL: https://quantsynth.org/

Comments URL: https://news.ycombinator.com/item?id=47346263

Points: 1

# Comments: 1

Hi HN,

I built an MCP server that exposes an API for automated clinical coding.

Repo: https://github.com/fcggamou/autoicd-mcp

It allows AI assistants that support the Model Context Protocol (MCP) to convert clinical text into structured medical codes like ICD-10 and SNOMED-CT.

Example use cases:

• coding diagnoses from clinical notes • extracting structured codes from medical documentation • integrating medical coding into LLM workflows • healthcare data pipelines

Example prompt with an MCP-enabled assistant:

“Convert this clinical note into ICD-10 codes”

The server then calls the AutoICD API and returns structured codes.

The goal is to make it easy to plug medical coding into AI agents and tools.

Would love feedback from anyone working on healthcare AI, medical NLP, or MCP tooling.

Comments URL: https://news.ycombinator.com/item?id=47346251

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2603.09958

Comments URL: https://news.ycombinator.com/item?id=47346201

Points: 2

# Comments: 0

Article URL: https://www.researchgate.net/publication/259380603_Why_Big_Nations_Lose_Small_Wars_The_Politics_of_Asymmetric_Conflict

Comments URL: https://news.ycombinator.com/item?id=47346164

Points: 1

# Comments: 0

Article URL: https://medium.com/@robert.shane.kirkpatrick/i-stopped-writing-prompts-and-started-writing-systems-the-results-werent-even-close-c1d4d2f64c1a

Comments URL: https://news.ycombinator.com/item?id=47346156

Points: 1

# Comments: 0

Article URL: https://fossil-scm.org/home/info/version-2.28

Comments URL: https://news.ycombinator.com/item?id=47346153

Points: 1

# Comments: 1

Article URL: https://foreignpolicy.com/2026/03/05/iran-israel-united-states-war-gulf-countries-alliances/

Comments URL: https://news.ycombinator.com/item?id=47346140

Points: 2

# Comments: 0

Article URL: https://www.bbc.com/news/articles/c1w5141vx53o

Comments URL: https://news.ycombinator.com/item?id=47346137

Points: 1

# Comments: 0

Article URL: https://procreate.com/dreams

Comments URL: https://news.ycombinator.com/item?id=47346108

Points: 1

# Comments: 0

Article URL: https://krebsonsecurity.com/2026/03/iran-backed-hackers-claim-wiper-attack-on-medtech-firm-stryker/

Comments URL: https://news.ycombinator.com/item?id=47346091

Points: 2

# Comments: 0

Article URL: https://daringfireball.net/2006/05/web_kit_vs_webkit

Comments URL: https://news.ycombinator.com/item?id=47346044

Points: 2

# Comments: 0

Article URL: https://mochipdf.com

Comments URL: https://news.ycombinator.com/item?id=47346033

Points: 1

# Comments: 2

I live in a rural farming neighborhood in Japan.

Day-to-day Japanese is fine for me. But neighborhood meetings were a completely different level.

People speak fast. There's local dialect. Someone references a flood from 1987, a land boundary dispute from 1994, and three people I've never met but everyone else knows. I would walk out feeling like I understood maybe 5% of what happened.

So I built a tool for myself to help follow those conversations.

Live Kaiwa listens to Japanese speech and, in real time, shows:

* Japanese transcription * English translation * a running summary of what's being discussed * suggested responses you can say back

The idea is to help you stay oriented in complex conversations.

You can try it here: https://livekaiwa.com

---

How it works

When you start a session, the browser microphone captures the conversation and streams audio.

The pipeline looks roughly like this:

1. Audio streaming - Browser microphone → WebRTC → server

2. Speech to text - Kotoba Whisper runs a fast first pass transcription.

3. Multi-pass correction - Buffered audio is re-transcribed with higher accuracy and replaces earlier text.

4. LLM processing - Each batch of transcript is sent to an LLM that generates: English translations, summary bullets, and suggested replies (with TTS)

5. Live UI updates - Everything streams back to the browser in (mostly) real time.

Session data stays in the browser, nothing is stored server-side.

Why I built it, in short: even if you speak Japanese reasonably well, fast, multi-person discussions can become overwhelming. Seeing the conversation transcribed and summarized helps.

Comments URL: https://news.ycombinator.com/item?id=47346022

Points: 1

# Comments: 0

Article URL: https://www.militarytimes.com/industry/techwatch/2026/03/12/pentagon-seeks-system-to-ensure-ai-models-work-as-planned/

Comments URL: https://news.ycombinator.com/item?id=47346001

Points: 2

# Comments: 0

Article URL: https://www.militarytimes.com/industry/techwatch/2026/03/11/us-marine-corps-pursues-thermal-cloaks-to-hide-troops-from-heat-sensors/

Comments URL: https://news.ycombinator.com/item?id=47345992

Points: 2

# Comments: 2