# LinkedIn Founder Post — AccelaStudy AI Launch

**Post day/time:** Tue May 11, 2026 — **6:00 AM ET** (launch moment)
**Type:** Long-form text post (no link in body — link in first comment, LinkedIn algorithm penalty for outbound links in body)
**Pinned:** Yes, all day
**Length:** ~1,800 chars (under LinkedIn's "see more" cutoff is impossible at this length, but the first 2-3 lines are what 90% of readers see — front-load the hook)

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## Post body

Today I'm launching AccelaStudy AI.

Solo founder. 81 days. 74 repositories. 1.27 million lines of code. 24,800+ automated tests. 29 patent filings covering 637 claims. $0 raised.

My only collaborator was Anthropic's Claude.

I think this is the first time a single human partnered with an AI has independently shipped a production platform of this scope, including a defended patent portfolio, in this compressed a timeframe. I'd love to be wrong — if anyone has done it bigger or faster, please tell me.

What we built:

→ An adaptive learning engine that maintains a real-time mathematical model of every learner's knowledge and updates it in under 2 milliseconds after every answer.
→ A content synthesis pipeline that produces a complete adaptive-learning domain in 10 minutes at a fraction of the cost of human authoring in compute.
→ 929 certifications and standardized tests covered. 1,400,000+ AI-synthesized questions. 2196 hands-on console-simulator labs.
→ A web app that's generally available today, plus native iOS / iPadOS / macOS / Windows / Linux apps shipping Monday, June 1.

What it does for you, in plain English: most adaptive-learning tools tell you you're "60% on AWS." AccelaStudy tells you why. When you fail VPC peering questions, it traces the failure back to a gap in IP subnetting and queues the four-minute lesson that fixes it. Then it tells you when you're actually ready for the exam — probabilistic simulation, 2,000 attempts, confidence intervals — so you don't burn a $300 voucher on a coin flip.

What it means for the rest of us: five years ago, building this would have required a fifty-person team and Series B funding. We did it solo, bootstrapped, in less than three months — one human and Claude, working as a unit. I think we'll look back on this as the moment the ceiling moved on what a single motivated person can attempt.

The free demo at accelastudy.ai requires no signup. $39/mo for everything once you sign up. We're on Product Hunt today — link in the comments.

Try it. Tell me what's broken. Tell me what surprised you. I'll be answering every reply today.

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## First comment (post immediately, holds the link)

> Product Hunt: [link to PH listing once live]
> Free demo (no signup): accelastudy.ai
> Press kit + technical detail: accelastudy.ai/press

## Second pinned comment (post around 9 AM ET)

> If you have time, a Product Hunt upvote in the first 6 hours matters disproportionately for the #1 Product of the Day algorithm. Link above. Either way — thank you for reading.

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## Tactical notes

- **Pin the post.** "Featured" or "pin to top of profile" — whatever LinkedIn calls it currently.
- **No emojis.** This is the angle: dry, factual, technically credible. Emojis read as performative on a post claiming "patent portfolio" and "1.27M lines of code."
- **No image attached.** Counterintuitive but tested: a long-form text post outperforms image+text on LinkedIn for technical/founder content. The algorithm rewards reading time, and people scroll past images faster.
- **Reply to every comment for 6+ hours.** LinkedIn weights "comment velocity from the author" heavily for distribution. Even a one-line reply boosts reach.
- **Don't use the word "AI" in the first line.** Every LinkedIn post says "AI" today. Lead with the human story; let the AI angle land in the second paragraph.

## Variant — shorter (if 1,800 chars feels like too much)

> Today I'm launching AccelaStudy AI.
>
> One human. 81 days. 74 repositories. 1.27 million lines of code. 24,800+ tests. 29 patent filings. $0 raised.
>
> My only collaborator was Anthropic's Claude.
>
> What we built: an adaptive learning engine that tracks what you know in under 2 milliseconds, traces wrong answers to root-cause prerequisite gaps, and predicts pass probability before you risk the exam fee. 929 certs covered. 1,400,000+ AI-synthesized questions. 2196 hands-on labs.
>
> Five years ago this would have taken a fifty-person team. We did it solo. I think we'll look back on this as the moment the ceiling moved.
>
> Free demo at accelastudy.ai (no signup). We're on Product Hunt today — link in comments. Try it. Tell me what's broken.

The shorter version trades depth for read-completion rate. Either works. Pick based on whether you want maximum reach (shorter) or maximum credibility-density-per-reader (longer).
