How to advertise to AI engineers
To advertise to AI engineers, be where they read every day: daily.dev Ads, AI newsletters, r/MachineLearning and AI engineering conferences. daily.dev gives you a verified company page they follow and puts your posts and releases in the feed of developers who read #ai, #llm and #ai-agents, plus the AI and Machine Learning newsletter, in one plan we run for you.
One plan, built around your company page: we put it in front of AI engineers across daily.dev and report on it every week.
Who are the AI engineers on daily.dev?
What they read, where it comes from, and what else they follow: the signals a campaign is targeted on.
The tags that reach them
Target any mix; your plan runs the campaign on them.
- #ai
- #llm
- #ai-agents
- #machine-learning
- #openai
- #rag
800+ targetable keywords in all (daily.dev Media Kit 2.0, August 2026 — targeting).
Where AI engineers get their news
The sources that publish most on these tags, ranked by followers on daily.dev.
- 1
Fireship - 2
freeCodeCamp
- 3
Hacker News
- 4
ByteByteGo
- 5
Agentic Digest
- 6
The Next Web
What they also read
Tags on the same recent posts, as a share of them. Worth adding to a campaign.
- #mcp8%
- #anthropic6%
- #vector-search6%
- #open-source5%
- #ai-safety5%
- #claude3%
Tags, sources and co-reading: daily.dev public API snapshot.
How do you reach AI engineers?
Developers are the audience that taught the industry to block ads. The way in is not a louder interruption; it is the reading they chose, in the place they open every day. That is why daily.dev Ads exists: to help brands earn a place in that reading, week after week.
- 13K+
- companies whose developers read daily.dev
- 800+
- targetable stacks and topics
- 2,000+
- content sources in the feed
Written by the daily.dev Ads team, which plans and runs every campaign on the platform. Sources on the audience overview.
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They read to keep up, so publish what is new.
AI engineers open daily.dev to track a field that changes weekly. Post your releases, techniques and benchmarks on your company page as they ship, and the follows come from being a source worth checking.
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They benchmark everything, so put the number in the post.
Latency, tokens per second, cost per task, eval scores: publish the measured figure with the method beside it. A post they can check earns more trust than any adjective.
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Name the model, the task and the trade-off.
"AI" on its own is noise to this audience. Write about the model class, the job it does and what it costs, and the discussion under your post will be about your product, not the buzzword.
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They adopt through notebooks and repos.
Publish tutorials they can run, with the repo linked from the post. Keep a strong tutorial in their feed long after launch week.
context.dev“daily.dev is a daily place for devs to go. It’s an awesome place to show up in front of people and not be too salesy. Just, ‘hey, we exist.’”
Why do developers pay attention on daily.dev?
Nimrod on why marketing to developers is anything but marketing: what developers trust, what they tune out, and how daily.dev was built around it.
More from the team: the developer marketing series →
What do AI engineers read, and what should your brand say?
A few things they read and discuss
Examples of popular posts on these tags that AI engineers read and talk about on daily.dev. Open any of them to join the conversation.
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The LLM Blindspot: Why Models Forget What’s in the Middle of Your Prompt
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Everyone's learning to prompt better. That's the wrong skill.
DEV 11 54
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How Netflix Taught an LLM to Recommend Movies So That You Keep Watching
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Create Scalable AI Automations with n8n
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Build and Train a 25M Parameter LLM From Scratch on Your CPU
Each post opens on daily.dev with its discussion.
What that means for your message
Your takeaways from what they discuss. Our team writes the creative with you.
- Agents in production Publish how your agents behave in production: the evals, the failure cases and the cost per task
- Running models locally Say what local models make possible for your users (privacy, latency, no vendor lock-in) and share the setup you used
- Fine-tuning and training from scratch Post the notebook, the GPU bill and the result, so readers can rerun your work
How do you target AI engineers on daily.dev?
Targeting is built on what developers read on daily.dev, not a self-declared profile. You set it once with your campaign manager; your plan runs it, and we optimise it every week.
- Tags
- #ai, #llm, #ai-agents, #machine-learning, #openai, #rag, and any of the 800+ targetable keywords
- Seniority
- Junior, mid-level, senior and leadership, from on-platform activity
- Region
- Global, or by region and country
- In your plan
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- Your verified company page
- Your posts in their feed
- The AI and Machine Learning newsletter
- Your logo on the daily.dev homepage
- A weekly report and a campaign manager
- Creative
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Our team works with you to shape, finish and test your creative, so it reads like the posts around it.
Creative specs for every placement
Pick a size
Same work in every size. The size sets your reach.
Explore my options →Prices are quoted per company. See how plans work →
Where else can you reach AI engineers?
Where AI engineers can be reached with paid media, and what each channel is good at. Most teams combine two or three; a plan here is the always-on part.
| Channel | Format | Target by stack | How you buy | Best for |
|---|---|---|---|---|
 | Your verified company page, your posts in their feed, the newsletter they chose, the homepage | Yes: AI tags, seniority, region | Managed monthly plan | Building a brand developers follow, every week, with creative and reporting done for you |
| AI newsletters | One sponsor slot per issue | By list topic | Per issue | Launch-week spikes |
| Reddit (r/MachineLearning, r/LocalLLaMA) | Promoted posts | By subreddit and interest | Self-serve | Discussion and feedback |
| X | Promoted posts | Interests and follower look-alikes | Self-serve | Founder-led launches |
| Hacker News | Show HN and Launch HN posts | None; the front page decides | Organic | One-off launches with a technical story |
| AI engineering conferences | Booths and talks | By event | Sponsorship packages | Enterprise relationships |
Compare daily.dev with
- Format
- Your verified company page, your posts in their feed, the newsletter they chose, the homepage One sponsor slot per issuePromoted postsPromoted postsShow HN and Launch HN postsBooths and talks
- Target by stack
- Yes: AI tags, seniority, region By list topicBy subreddit and interestInterests and follower look-alikesNone; the front page decidesBy event
- How you buy
- Managed monthly plan Per issueSelf-serveSelf-serveOrganicSponsorship packages
- Best for
- Building a brand developers follow, every week, with creative and reporting done for you Launch-week spikesDiscussion and feedbackFounder-led launchesOne-off launches with a technical storyEnterprise relationships
Channel facts from each channel's own public pages, October 2026. Prices are not compared.
What do teams build with AI engineers on daily.dev?
Build your brand with them
Show up every day in the reading AI engineers chose, with your posts, releases and point of view, so yours is the name they know when they pick a tool.
Grow a community around your product
Your verified company page is where AI engineers follow you, discuss your posts and come back for your next release.
Strengthen your employer brand
Share engineering stories, culture and open roles with AI engineers where they already discover tools and ideas.
Brands building with developers on daily.dev
Brands building with developers on daily.dev
Google, AWS, Google Cloud, Cursor, Vanta, Zoho, Atlassian, Notion, Okta, Sentry, Datadog, JetBrains, Postman, Snyk, ClickHouse, Edge Impulse, RevenueCat, QA Wolf, TigerData, PostHog, LaunchDarkly, Neo4j, Temporal, Sonar, Appwrite, dbt Labs, Retool, Pulumi, CodeRabbit, Windsurf, OpenRouter, Bright Data, Stream, Postmark, Novu, context.dev
Guides on reaching AI engineers
- Marketing to AI engineers: where LLM builders, agent developers and MLOps teams hang out
- AI coding tool marketing in the Cursor and Copilot era
- Target developers by programming language: a marketer’s guide
- Tech stack targeting: reaching developers by the tools they use
- Best developer advertising platforms
- Developer marketing platforms compared: the channel mix
All guides: developer marketing resources →
Advertising to AI engineers: your questions
Pick a plan. We reach
AI engineers for you.
Tell us what you sell and the regions you need. We come back with a plan size, the reach it buys and a quote.
Other audiences: Data engineers Python developers Web developers All audiences →
