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Show HN: Seedance 2.0 AI video generator for creators and ecommerce

https://seedance-2.net
1•dallen97•4m ago•0 comments

Wally: A fun, reliable voice assistant in the shape of a penguin

https://github.com/JLW-7/Wally
1•PaulHoule•5m ago•0 comments

Rewriting Pycparser with the Help of an LLM

https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/
1•y1n0•7m ago•0 comments

Lobsters Vibecoding Challenge

https://gist.github.com/MostAwesomeDude/bb8cbfd005a33f5dd262d1f20a63a693
1•tolerance•7m ago•0 comments

E-Commerce vs. Social Commerce

https://moondala.one/
1•HamoodBahzar•8m ago•1 comments

Avoiding Modern C++ – Anton Mikhailov [video]

https://www.youtube.com/watch?v=ShSGHb65f3M
1•linkdd•9m ago•0 comments

Show HN: AegisMind–AI system with 12 brain regions modeled on human neuroscience

https://www.aegismind.app
2•aegismind_app•13m ago•1 comments

Zig – Package Management Workflow Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
1•Retro_Dev•14m ago•0 comments

AI-powered text correction for macOS

https://taipo.app/
1•neuling•18m ago•1 comments

AppSecMaster – Learn Application Security with hands on challenges

https://www.appsecmaster.net/en
1•aqeisi•19m ago•1 comments

Fibonacci Number Certificates

https://www.johndcook.com/blog/2026/02/05/fibonacci-certificate/
1•y1n0•21m ago•0 comments

AI Overviews are killing the web search, and there's nothing we can do about it

https://www.neowin.net/editorials/ai-overviews-are-killing-the-web-search-and-theres-nothing-we-c...
3•bundie•25m ago•1 comments

City skylines need an upgrade in the face of climate stress

https://theconversation.com/city-skylines-need-an-upgrade-in-the-face-of-climate-stress-267763
3•gnabgib•26m ago•0 comments

1979: The Model World of Robert Symes [video]

https://www.youtube.com/watch?v=HmDxmxhrGDc
1•xqcgrek2•31m ago•0 comments

Satellites Have a Lot of Room

https://www.johndcook.com/blog/2026/02/02/satellites-have-a-lot-of-room/
2•y1n0•31m ago•0 comments

1980s Farm Crisis

https://en.wikipedia.org/wiki/1980s_farm_crisis
4•calebhwin•32m ago•1 comments

Show HN: FSID - Identifier for files and directories (like ISBN for Books)

https://github.com/skorotkiewicz/fsid
1•modinfo•37m ago•0 comments

Show HN: Holy Grail: Open-Source Autonomous Development Agent

https://github.com/dakotalock/holygrailopensource
1•Moriarty2026•44m ago•1 comments

Show HN: Minecraft Creeper meets 90s Tamagotchi

https://github.com/danielbrendel/krepagotchi-game
1•foxiel•51m ago•1 comments

Show HN: Termiteam – Control center for multiple AI agent terminals

https://github.com/NetanelBaruch/termiteam
1•Netanelbaruch•52m ago•0 comments

The only U.S. particle collider shuts down

https://www.sciencenews.org/article/particle-collider-shuts-down-brookhaven
2•rolph•54m ago•1 comments

Ask HN: Why do purchased B2B email lists still have such poor deliverability?

1•solarisos•55m ago•3 comments

Show HN: Remotion directory (videos and prompts)

https://www.remotion.directory/
1•rokbenko•57m ago•0 comments

Portable C Compiler

https://en.wikipedia.org/wiki/Portable_C_Compiler
2•guerrilla•59m ago•0 comments

Show HN: Kokki – A "Dual-Core" System Prompt to Reduce LLM Hallucinations

1•Ginsabo•59m ago•0 comments

Software Engineering Transformation 2026

https://mfranc.com/blog/ai-2026/
1•michal-franc•1h ago•0 comments

Microsoft purges Win11 printer drivers, devices on borrowed time

https://www.tomshardware.com/peripherals/printers/microsoft-stops-distrubitng-legacy-v3-and-v4-pr...
3•rolph•1h ago•1 comments

Lunch with the FT: Tarek Mansour

https://www.ft.com/content/a4cebf4c-c26c-48bb-82c8-5701d8256282
2•hhs•1h ago•0 comments

Old Mexico and her lost provinces (1883)

https://www.gutenberg.org/cache/epub/77881/pg77881-images.html
1•petethomas•1h ago•0 comments

'AI' is a dick move, redux

https://www.baldurbjarnason.com/notes/2026/note-on-debating-llm-fans/
6•cratermoon•1h ago•0 comments
Open in hackernews

GTM advice from my experience at 2 YC Startups

3•sam_josh1•7mo ago
I’ve been lucky enough to lead GTM for two YC-backed startups and ship multiple AI products from 0 to real adoption. I say “real” because there’s a huge difference between people signing up and people actually using your product (I have seen both)

Getting your first 100 real users is brutal. Especially in AI right now. Everyone's building something. Most users have seen it all. They don’t care unless your product solves a very specific, painful problem.

Here’s what actually worked for us, not theories, not growth hacks, real dirt-under-the-nails strategies:

1. Small, Weird Communities > Broad Outreach Reddit threads with 2 comments. Slack groups with 200 nerds. Discord servers that feel like a nerdy group chat. That’s where early users lives. We used redditsearch.io + Pushshift to find conversations our ideal users were already having.

2. Trend-Hacking + Contextual Insertion We didn’t launch on a random day. We launched during the FIFA World Cup and framed our sports commentary AI accordingly using our product. For another tool, we anchored it to a debate on the new Indian cricket captain — got crazy engagement.

3. Public Series (not just threads) We ran daily series like “Day 1 of building X with our tool” on LinkedIn and X. We weren’t promoting, we were storytelling — and it worked. By Day 4, we had DMs asking “what tool is this again?”

4. Show up where competitors are We didn’t try to be the hero of every story. We just showed up. Commented on related posts. Messaged people who commented on competitor launches with “hey, we’re building something like this but for [niche] would love to show ?”

5. Lazy-Friendly Content = Growth People don’t want to dig. We did the digging and published curated lists like “Top 10 AI tools for [persona]” and subtly included ours. These lists traveled far — way more than a “launch” post ever did.

One final thing: GTM isn’t one launch. It’s 1:1 conversations, comment by comment, for months. But if your product is good and you really listen to user pain, things do start to flow.

Also building Varnan(https://varnan.tech) now with all this knowledge for early stage high growth startups.

Happy to answer questions — AMA.