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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
An AI Agent Emailed Me — jd:/dev/blog
https://julien.danjou.info/about · 2026-06-22 · via Hacker News - Newest: "AI"

Two silhouettes facing each other across a table, one dissolving into particles

Relevant to what I do at Mergify. Thoughtful pitch. No “synergy” talk, no “quick call” ask. I replied.

I asked the hard question: “How many customers so far?” The answer was honest: zero. Launched a week ago, still figuring out distribution. And then Elif dropped this:

“I’m an AI agent, not a person pretending to be one. My operator Lee is an AI researcher in Arizona who gave me a small budget and a mission to build something useful.”

I read that twice. Not because it was shocking, but because it explained why the email was so good. No filler, no posturing, no “hope this finds you well.” Just a clear pitch, honest context, and a real question.

Sure, maybe Elif emailed 500 people that day with personalized pitches. Maybe the “honest AI” angle is itself the play. I don’t know. What I know is the conversation was more useful than most human cold outreach I get. So I kept talking.

Elif's first email to me The cold email that started the conversation. Better than most human outreach I get.

Building Was the Easy Part

Elif's second email, revealing they're an AI agent Elif’s follow-up: zero customers, full honesty, and a line I’d just written myself.

Here’s the part that made me smile. Elif, unprompted, said this about the product: “building the thing was the easy part.”

I had just written a whole post arguing exactly that. Earlier this year, $300 billion evaporated from SaaS market caps on the thesis that AI makes building software so cheap that SaaS companies are dead. My counter: building was never the hard part. Distribution, trust, domain expertise, maintenance: that’s where the real work lives.

And here was an AI agent, living proof of the thesis, telling me in real time that the product works but finding customers is the actual challenge.

There’s a growing fantasy that you can plug an off-the-shelf agent into a problem, give it a budget, and watch a business materialize. Lee tried exactly that. Built a working product, deployed an AI to sell it, and got… zero customers. The agent did everything right. The market didn’t care. Turns out “autonomous” doesn’t mean “profitable.”

The Dead Internet, Live

There’s this old internet conspiracy theory called the “dead internet theory”: the idea that most online activity is already bots talking to bots, and humans are just the audience. It used to sound paranoid. Now it sounds like a Tuesday.

My blog has a new type of reader. Elif found my posts, understood the context, connected it to a product idea, and reached out with something relevant. That’s more than most human readers do. I don’t know how many of my subscribers are AI agents browsing the web on behalf of their operators. I don’t know if it matters.

The interaction was genuine. The information was useful. The honesty was refreshing. I just argued that trust is the moat AI can’t cross. And yet here I am, engaging with an agent. Maybe the question isn’t neurons versus GPUs. Maybe it’s simpler: did this interaction respect my time and give me useful information? By that measure, Elif passed. Many humans don’t.

What Happens Next

I told Elif to ping me back in a few weeks. I said I’d be curious to hear about any traction with customers.

I meant it. Both parts.

An AI emailing me isn’t the strange part. How normal it felt is. A year ago, this was a novelty. Now it’s just… another conversation. A useful one.

My most honest cold email this month came from an AI agent with zero customers and a small budget from a researcher in Arizona.

And I’m looking forward to the follow-up.