For AI & ML infrastructure founders

You built the layer everyone depends on.
Nobody knows it’s you.

AI infrastructure sells to the most technical buyers alive — ML engineers and platform leads who can smell a marketer in one line. We turn your real systems expertise into founder-voice content they trust, and surface the platform teams already engaging your posts.

We are client zero: our own deep-tech account produced 15,607 engagers → 198 qualified buyers → 370 outreach drafts, automatically. The loop doesn’t care about the vertical — it runs on yours.

Why your buyers can’t see you

Three leaks that keep the best founders in your space invisible.

The category re-labels itself every quarter

RAG, agents, inference, eval — the vocabulary moves faster than any content team can. The founder who explains the shift first owns the search and the mindshare. Generic content is always a quarter behind.

Your buyers are engineers who hate being sold to

Platform leads trust a benchmark and a war story, not a landing page. Content from your actual scars is the only thing that earns a reply.

Warm technical buyers slip through

The ML engineers reacting to your architecture posts are your highest-intent pipeline — and almost nobody scores them, names them, and opens the conversation. We do.

Imagine this in your feed

The kind of founder-voice posts the loop would publish on your account — engineered to earn reach, build trust, and book calls. Engagement figures below are illustrative projections.

AA founder in ai & ml infrastructure foundersFounder & CEO · your voice, your accountarchitecture teardown

We cut inference cost 61% by deleting a “best practice.” The exact before/after diagram — platform engineers repost this to their whole team.

AI & ML infrastructure founders example post visual — architecture teardown
👍❤️💡512 reactions · 84 comments · 41 reposts
27.3K impressionsest.
AA founder in ai & ml infrastructure foundersFounder & CEO · your voice, your accountcontrarian benchmark

“Your eval suite is lying to you.” The 3 metrics that actually predict production quality — and the ones everyone charts because they look good.

AI & ML infrastructure founders example post visual — contrarian benchmark
👍❤️💡397 reactions · 66 comments · 29 reposts
20.8K impressionsest.
AA founder in ai & ml infrastructure foundersFounder & CEO · your voice, your accountfounder offer

A 90-second Loom walking through the one primitive our platform ships that your team keeps rebuilding badly — the post that books the technical call.

AI & ML infrastructure founders example post visual — founder offer
👍❤️💡241 reactions · 35 comments · 14 reposts
12.9K impressionsest.

Illustrative example posts — the format and caliber we’d craft in your voice. Engagement numbers shown are conservative projections (“est.”), not results from a specific published post. Your real numbers depend on your account, audience and ICP — run the free estimate for a figure grounded in your data.

This could be your first year

A deliberately conservative projection of what the loop compounds toward for a founder in your space.

Estimated · this could be you
1.0M–1.6Mprojected annual reach
160–240qualified buyers surfaced
€2.6M+influenced pipeline

Estimates, not guarantees — modelled conservatively on Alphavant’s own proven track record and typical deep-tech founder accounts. Your real figure depends on your audience, ICP and deal size.

Get my grounded estimate — free →

These numbers are real — and ours

The projections above are modelled on our own proven track record. Across a portfolio of B2B / deep-tech founder accounts, trailing 12 months:

5.1M+reach engineered
640+posts published
3.68%avg engagement

Proven — Alphavant’s own aggregate results (Publer, trailing 365 days). Client names on request, not on a landing page. We ran the loop on ourselves before we sold it.

Not a funnel. A loop.

One closed system on your business — it gets sharper every month. You are not buying posts; you are buying a system we already ran on ourselves.

See what’s hiding in your audience

Answer five questions and get an instant, deliberately-conservative estimate of how many qualified buyers are already in your LinkedIn engagement — and what they’re worth.

Run the free estimate →

Questions ai & ml infrastructure founders founders ask

Can you write credibly for an ML-engineer audience?

We don’t invent expertise — we surface yours. We mine your calls, PRs and docs for the exact language and war stories that pass the engineer test, then structure them for reach.

We move fast — can content keep up?

The loop is built for it. As the category re-labels, we re-steer positioning and formats from what your audience echoes back — that’s the point of a loop over a campaign.