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Hey HN,

I got tired of the performative culture on LinkedIn. The platform mostly feels like people just yapping at each other all day to farm engagement, so I decided to build a CLI tool to do the yapping for me. It's called Yappy (because we just yap yap yap).

It is an open-source Python TUI that automates your LinkedIn engagement directly from the command line. It logs in, reads your feed, and uses the Gemini API to generate context-aware comments and drop likes based on your prompt parameters. Everything runs completely in the terminal, so you never actually have to look at the feed yourself.

I know AI-generated comments and web scraping are controversial, and LinkedIn's TOS strictly prohibits this kind of automation. This is built purely as an experimental toy project and a proof-of-concept for integrating LLMs with terminal interfaces. If you actually decide to run it, definitely use a burner account, as LinkedIn will likely restrict you if you run it too aggressively.

I am mostly looking for technical feedback on the Python code architecture and the TUI implementation.

Would love to hear your thoughts. Roast my code or drop a PR if you find the concept funny.

Comments URL: https://news.ycombinator.com/item?id=47270845

Points: 2

# Comments: 0

Article URL: https://lorendb.dev/posts/shut-up-and-take-my-money/

Comments URL: https://news.ycombinator.com/item?id=47270819

Points: 3

# Comments: 0

Article URL: https://spell.sh/

Comments URL: https://news.ycombinator.com/item?id=47270816

Points: 2

# Comments: 0

We built an ant colony simulation as an internal hiring challenge at Moment and decided to open it up publicly.

You write a program in a custom assembly-like (we call it ant-ssembly) instruction set that controls 200 ants. Each ant can sense nearby cells (food, pheromones, home, other ants) but has no global view. The only coordination mechanism is pheromone trails, which ants can emit and sense them, but that's it. Your program runs identically on every ant.

The goal is to collect the highest percentage of food across a set of maps. Different map layouts (clustered food, scattered, obstacles) reward very different strategies. The leaderboard is live.

Grand prize is a trip to Maui for two paid for by Moment. Challenge closes March 12.

Curious what strategies people discover. We've seen some surprisingly clever emergent behavior internally.

Comments URL: https://news.ycombinator.com/item?id=47270807

Points: 9

# Comments: 3

Article URL: https://knhash.in/custom-search-engine-on-safari-and-spotlight-macos/

Comments URL: https://news.ycombinator.com/item?id=47270801

Points: 3

# Comments: 0

LLM agents and tool-calling systems frequently retry or replay actions.

This becomes dangerous when the action is irreversible: - sending emails - opening tickets - executing trades - triggering payouts

SafeAgent is a small Python library that enforces exactly-once execution for agent actions using request-ID deduplication.

Example:

from settlement.settlement_requests import SettlementRequestRegistry

registry = SettlementRequestRegistry()

def send_email(): print("EMAIL SENT")

registry.execute( request_id="email:user123:invoice", action="send_email", payload={"to": "user123@example.com"}, execute_fn=send_email )

If the same request_id is replayed, the action does not run again.

Instead the original execution receipt is returned.

pip install safeagent-exec-guard

GitHub: https://github.com/azender1/SafeAgent

PyPI: https://pypi.org/project/safeagent-exec-guard/

Comments URL: https://news.ycombinator.com/item?id=47270797

Points: 2

# Comments: 0

Article URL: https://medicalxpress.com/news/2026-03-brain-cells-dementia-proteins.html

Comments URL: https://news.ycombinator.com/item?id=47270796

Points: 4

# Comments: 0

Article URL: https://www.seroundtable.com/google-patent-ai-generated-pages-search-41010.html

Comments URL: https://news.ycombinator.com/item?id=47270785

Points: 3

# Comments: 0

Article URL: https://blog.system76.com/post/system76-on-age-verification/

Comments URL: https://news.ycombinator.com/item?id=47270784

Points: 2

# Comments: 0

Article URL: https://www.verak.io/demo

Comments URL: https://news.ycombinator.com/item?id=47270719

Points: 1

# Comments: 0

Article URL: https://odysa.github.io/one-agent-sdk/

Comments URL: https://news.ycombinator.com/item?id=47270716

Points: 1

# Comments: 1

Article URL: https://www.theatlantic.com/ideas/2026/03/intelligence-concept/686121/

Comments URL: https://news.ycombinator.com/item?id=47270715

Points: 1

# Comments: 0

Article URL: https://en.wikipedia.org/wiki/Parakaryon

Comments URL: https://news.ycombinator.com/item?id=47270714

Points: 1

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Article URL: https://warden.sentry.dev/

Comments URL: https://news.ycombinator.com/item?id=47270710

Points: 1

# Comments: 0

Hello HN,

This is a food log powered by Google Gemini.

Thanks, Enzo

Comments URL: https://news.ycombinator.com/item?id=47270700

Points: 1

# Comments: 0

Article URL: https://lists.debian.org/debian-legal/2026/03/msg00018.html

Comments URL: https://news.ycombinator.com/item?id=47270687

Points: 1

# Comments: 0

Article URL: https://www.allaboutcircuits.com/industry-articles/breaking-down-50-million-pins-a-smarter-way-to-design-3d-ic-packages/

Comments URL: https://news.ycombinator.com/item?id=47270672

Points: 1

# Comments: 0

I built Gluon because I was tired of switching between a project manager, a to-do app, and a calendar every day. Gluon combines all three. The core idea is the Impact Score — each task gets a 1–10 score so you prioritize by importance, not just deadlines. Features: - Projects with task tracking and completion rates - Calendar view with tasks and events side by side - Location-based reminders (arrive/leave a place) - Productivity stats with streak tracking and weekly insights Available on iOS. Free to download with a Pro plan for advanced stats. Would love any feedback — especially on the Impact Score concept. Is this something you'd actually use? app store link: https://apps.apple.com/us/app/gluon-project-manager/id675893...

Comments URL: https://news.ycombinator.com/item?id=47270663

Points: 1

# Comments: 1

Hi HN,

I run a small Pilates studio in NYC, but before that I spent most of my life as a dancer. Recently I decided to do something that feels slightly irrational and produce an evening-length dance theater piece independently.

Normally projects like this rely on grants, institutions, or large arts organizations. Those systems can work well, but they also move slowly and can make it difficult for smaller experimental work to happen.

So I started wondering: what would it look like to approach producing a piece of performance art more like building a small startup?

The “product” is the performance itself. The budget mostly goes toward rehearsal space in NYC, paying the second performer, building a small set, costumes, and renting a venue.

Instead of waiting on grants, I’ve been experimenting with more direct community support — a mix of small donations, personal outreach, and sharing the process publicly.

A few things I’ve already learned:

• People respond much more to the story behind the work than to the work itself. • Direct personal messages raise far more support than public posts. • Funding creative work is strangely similar to early-stage startup fundraising — it’s mostly momentum and belief.

What’s been interesting is realizing that artists are rarely taught to think about funding this way. Most training focuses on the craft itself, not on building the systems that allow the work to exist.

I’m curious if anyone here has experimented with unconventional funding models for creative work or small projects.

Would love to hear any thoughts or experiences.

Comments URL: https://news.ycombinator.com/item?id=47270660

Points: 1

# Comments: 0

I'm researching problems people face when searching for jobs online.

Many people mention fake job postings, duplicated listings, or companies that never respond after applying.

I'm curious how common this actually is.

Have you encountered fake job postings during your job search?

If so, what were the signs that made you realize the job wasn't legitimate?

Did you notice any patterns (for example: certain job boards, suspicious requests, or companies that never replied)?

Comments URL: https://news.ycombinator.com/item?id=47270647

Points: 1

# Comments: 0