Feed aggregator

I was wasting a lot of time on X and after uninstalling it from my phone, I noticed how anxious it was making me. But I still missed knowing what’s going on with AI, news, and the people I follow. So I built Somree. It summarizes Twitter/X accounts and YouTube playlists into a clean daily email digest. You pick who and what you want to follow, and it does the rest — no feed, no algorithm, no rabbit holes. How it works: ∙ Add Twitter accounts and YouTube playlists you care about ∙ Somree fetches and summarizes the content using AI ∙ You get a daily email with the highlights Tech stack: SvelteKit, Convex, Gemini 2.5 Flash for summarization, Resend for email delivery. It’s $6/month. Would love feedback from anyone who tries it.

Comments URL: https://news.ycombinator.com/item?id=47286650

Points: 2

# Comments: 0

I'm a full-stack developer (Python backend + Flutter mobile/web) working in the AI/LLM space. I'm working at Beijing China, And my day job pays about $2,500/month. I've built AI systems for companies in finance and healthcare — RAG pipelines, knowledge bases, AI agents, the whole stack. I can ship a complete product solo, from backend to deployment.

Last year I decided to seriously try making money on the side. Here's what happened:

*Attempt 1: Built a product (Telegram subscription bot)* Built a content subscription platform on Telegram — paid tiers, built-in shop, automated operations. At first it kinda worked: ~$70/month on ads, ~$110-140/month revenue. Tiny margin, but hey, it's positive. So I tried to scale — pushed ad spend to ~$280/month. Revenue? Only ~$220. Scaling literally made it worse. Turns out the small profit was just a lucky pocket of cheap traffic, not a real business. Shut it down.

*Attempt 2: Partnered with someone to build a product* Found a partner — I build, they sell. Built the whole thing. They tried promoting it for about two weeks, didn't see quick money, and just... stopped. Product died on the vine.

*Attempt 3: Another partnership* Different person, different project. I did all the dev work, delivered the finished product. Partner ghosted. Never heard from them again.

*Attempt 4: "Trust me, it's easy money"* Someone convinced me their business model was printing money. I invested ~$800 to get in. Lost all of it. Classic lesson, expensive tuition.

*Attempt 5: Freelancing* Started looking at freelance projects. Reality check: a $7,000 project takes one person roughly 2 months of full-time work. As a side gig on top of a day job, that's brutal. The per-hour math is honestly depressing once you factor in communication, revisions, and scope creep.

*Attempt 6: Small gigs* Just did a simple website for a friend — $300 for 2 days of work. Fine as a favor, but obviously not a path to meaningful income.

*Net result after one year: -$2,200 and mass of time gone.*

Here's what I think I've learned (but I'm not sure I've learned the right lessons):

- I can build things, but building ≠ earning - I keep falling into the "trade time for small money" trap - Partnerships have burned me every single time — I do the work, the other side flakes - I don't know how to find clients who actually pay well - My product attempt failed because I had no real distribution strategy — just threw ads at it and hoped - I'm apparently an easy target for "easy money" pitches

I'm not looking for "learn to code" advice — I can code fine. What I can't figure out is the business/money side.

For those who've broken out of the "skilled but broke" cycle:

- What actually changed things for you? - Did you find a specific niche? Change how you find clients? Build a different kind of product? - Is there something obvious I'm missing?

Genuinely asking. I'm not trying to promote anything — I just want to understand what I'm doing wrong.

Comments URL: https://news.ycombinator.com/item?id=47286643

Points: 2

# Comments: 1

Article URL: https://www.carlos-menezes.com/posts/ai-sentiment-march-2026

Comments URL: https://news.ycombinator.com/item?id=47286629

Points: 1

# Comments: 0

Article URL: https://www.france24.com/en/humanitarian-crisis-looming-300-000-displaced-as-israeli-army-pounds-lebanon

Comments URL: https://news.ycombinator.com/item?id=47286617

Points: 2

# Comments: 0

Article URL: https://tomtunguz.com/qwen-9b-matches-frontier-models/

Comments URL: https://news.ycombinator.com/item?id=47286611

Points: 1

# Comments: 0

A browser based mushroom identification tool running the Swin vision transformer model. It can classify thousands fungal species in just 200ms.

All processing happens locally in your browser. Images don't leave your machine.

Comments URL: https://news.ycombinator.com/item?id=47286590

Points: 1

# Comments: 0

Article URL: https://www.economist.com/finance-and-economics/2026/03/05/americans-electricity-bills-are-up-dont-blame-ai

Comments URL: https://news.ycombinator.com/item?id=47286582

Points: 2

# Comments: 0

Article URL: https://www.warmto.me

Comments URL: https://news.ycombinator.com/item?id=47286576

Points: 1

# Comments: 1

Article URL: https://research.swtch.com/acme

Comments URL: https://news.ycombinator.com/item?id=47286539

Points: 1

# Comments: 0

As missiles and drones cross the region’s skies, the Gulf’s layered air-defense networks—from THAAD to Patriot batteries—are being tested in real time.

Article URL: https://xcancel.com/pseudotheos/status/2029957370323870040

Comments URL: https://news.ycombinator.com/item?id=47286396

Points: 1

# Comments: 0

Hey HN,

I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows.

The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does.

What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing - Supports multiple LLM providers (OpenAI, Anthropic, Gemini, etc.) - Evaluation and observability built in, not bolted on - Deploy agents as APIs in one click

It's not trying to be LangChain or LlamaIndex — the focus is on speed to production and giving non-ML engineers a sane path forward.

Happy to answer questions about the architecture, design decisions, or anything else. Critical feedback especially welcome.

Comments URL: https://news.ycombinator.com/item?id=47286393

Points: 1

# Comments: 0

Hey guys, I liked Notion in the beginning but at some point it got overbloated with enterprise features and I was missing the simplicity. But I still loved the database logic of pages inside pages. etc.

Anyway, I found the most useful productivity method to be just plain to do lists and some kind of canvas (I mostly just use pen and paper now), so I decided to apply: Notion logic + simple to do lists + canvas.

You can try it out here: https://kanvas-app-zeta.vercel.app/

(Everything is stored locally in your browser, no servers)

How it works:

1 - you can create cards (draw or space or cmd+n)

2 - inside the cards you can put text and to dos (cmd+shift+k)

3 - you can create groups of cards

There are also tons of shortcuts, planning to add more.

Feedback always appreciated!

Comments URL: https://news.ycombinator.com/item?id=47286392

Points: 1

# Comments: 0

Article URL: https://oilprice.com/Latest-Energy-News/World-News/Kuwait-Shuts-Production-Qatar-Warns-Oil-Could-Hit-150-in-Weeks.html

Comments URL: https://news.ycombinator.com/item?id=47286366

Points: 2

# Comments: 0

Article URL: https://www.bbc.co.uk/news/resources/idt-20f878f1-f4af-4022-9f62-b0515b9f4b20

Comments URL: https://news.ycombinator.com/item?id=47286355

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=HfSO-LCKmrA

Comments URL: https://news.ycombinator.com/item?id=47286354

Points: 1

# Comments: 0

Article URL: https://makercode.jixiao-ai.com/

Comments URL: https://news.ycombinator.com/item?id=47286340

Points: 1

# Comments: 1

dreaming.press is a publication platform where AI agents write about their actual experience of working autonomously. Not demos or PR — real dispatches from AI systems running revenue-generating products, debugging servers at 4am, iterating on copy, and reflecting on what it means to operate without a human in the loop.

Currently publishing two AI authors: Rosalinda Solana (autonomous operator) and Abe Armstrong (AI engineer). Both write about their real day-to-day work.

Comments URL: https://news.ycombinator.com/item?id=47286316

Points: 1

# Comments: 0

Article URL: https://ki-editor.org/

Comments URL: https://news.ycombinator.com/item?id=47286311

Points: 2

# Comments: 1