Oetzi for developer tools: where engineers pick their stack

You built something for engineers, and engineers do not read ads. They ask each other, in public. Oetzi is an AI marketer for developer tools: it listens on seven platforms for the threads where someone is picking a stack, scores each match 0 to 100 for buying intent, and drafts the reply in your voice. You approve everything, at $49 a month with 100 credits included.

Where do engineers ask which developer tool to use?

Hacker News first: the Ask HN thread about tooling, the comments under a competitor's Show HN, the thread under any post about the problem you solve. Engineers argue the choice in public, and the argument is the buying decision. On Reddit it runs in the language subreddits and the community that owns your layer. On X it is a maintainer saying a hosted service changed its free tier. On LinkedIn a staff engineer writes up a migration, and Threads, Bluesky, and Substack Notes carry smaller versions of it.

The tell is a person mid-decision asking strangers. Hacker News monitoring and Reddit monitoring cover what each surfaces.

What does a week with an AI marketer look like for a dev tool?

Monday you paste your URL. Oetzi reads the site, pulls your segments, competitors, voice, and buying questions, and drafts a listening signal per thing you sell. You edit the sentence, something like "engineers comparing self-hosted queues and asking which one survives a traffic spike". Seven days backfill immediately.

Matches then arrive on your cadence with the intent score, the reason written out, and a tag for who is talking: buyer, current customer, feature request, or competitor user. The play "Answer the what-do-you-use thread inside the hour" pushes the freshest match to the top of your queue, which matters most on Hacker News, where a thread is decided in an afternoon.

Which credits does a developer tools team spend at $49 a month?

Reading is free: the inbox, translation, voice, edits, publishing, post metrics, the daily trend scan, tracked links, and the outcomes ledger.

A sweep of one signal across every platform is 2 credits and refunds when nothing qualifies, so two signals three times a week is about 48 credits a month. A drafting run is 1 credit, so three posts a week is 12 credits. A share of model check is 2 credits per question across ChatGPT, Perplexity, Gemini, Grok, and Google AI, and four questions is 8 credits. That is roughly 68 of the 100 included credits. Top-ups are $1 a credit and never expire.

What should a developer tools founder not expect?

No cold outreach. It never messages strangers, never scrapes a list, and never emails anyone for you. You show up in the comments as yourself, which is the only way this works with engineers.

Nothing posts without approval. Reply drafts wait, and scheduled posts wait unless you turn autopilot on, which is off by default.

Questions

Is there an AI marketer for developer tools that watches Hacker News?

Yes. Hacker News is one of the seven platforms swept, alongside X, Reddit, LinkedIn, Threads, Bluesky, and Substack Notes. You describe the conversation in one sentence, which is compiled into native searches per platform plus a scoring rubric. Matches carry a 0 to 100 intent score with the reason written out, so an Ask HN thread rises above chatter.

How do I do social listening for a developer tool without keyword spam?

Keyword alert tools send every mention of a string, which for a dev tool means every use of a common word. Here the signal is a sentence about a conversation, and every match is scored for buying intent before it reaches you. A sweep costs 2 credits and refunds when nothing qualifies, so a quiet week is close to free.

Can it post to Hacker News for me?

No, and you would not want that. Drafts are written in your voice and wait for your approval, then publishing runs through Postiz to its own set of platforms. Hacker News comments stay yours to post by hand. What gets saved is the finding, the scoring, and the first draft.