Maya Okafor
@mayabuilds · 2h
Shipped offline mode for Ledgerline today. 41 days, 3 rewrites, one very patient beta group. Changelog below. #buildinpublic
38 replies112 reposts1.4K likes
The autonomous, agentic distribution operating system
From strategy and content to coordinated distribution, Banyan helps turn what you build into a system designed to reach the people who need it.
The real problem
Distribution has become a second full-time job: learn each platform, write every format, publish consistently, and prove it worked. The product gets the leftover time.
You
@yourproduct · Mon
We just shipped v2! Check it out
2 replies1 reposts9 likes
Draft
TueNewsletter: v2 is here (rewrite 3)
Not sure what to lead with. Features? The story? Leaving this for tomorrow.
DraftsYou
Founder · Wed
Excited to announce v2! Huge thanks to the team. Link in comments.
1 replies14 likes
r/startups· Thu
Is it okay to post my own launch here?
30
You shipped something you're proud of. Then you opened a blank composer and spent an hour trying to make it sound worth posting.
A blank page is a strategy problem
The same update has to become a thread, a post and a 30-second script. Rewriting it three ways is a day you didn't have.
One idea is not three assets
Likes climb. Signups don't. Without tracked links, you can't tell whether the post worked or the algorithm just had a good day.
Engagement is not evidence
How it works
The scattered week above becomes one cycle with a shared plan. You bring the product and make the call; Banyan's autonomous agents run the research, the strategy, the writing, the publishing and the measurement in between, and stop at the gates that are yours.
1 / 7 You decide
Paste one public page. Banyan reads it into a snapshot, and you correct anything it got wrong before it is stored.
Produces
A reviewed product snapshot and one objective
An illustrative cycle for a fictional product. Live cycles show only recorded states and numbers.
The result
One post can get lucky. A cycle ends with a verdict, even when the verdict is “not enough data”, and whatever it learned becomes the starting point of the next one.
Every cycle leaves
Each written for its format, and kept for the next cycle to build on.
The provider's response is recorded. A missing connection is blocked, never faked.
Measured in first-party visits and signups, or reported as not enough data.
Does offline mode bring freelancers in?
Measured
Most attributed signups came through the LinkedIn post. The ones that converted talked about getting paid, not about the feature.
Carried into cycle 2: Lead with getting paid, and test LinkedIn first
Does “get paid without Wi-Fi” beat the feature name?
Not enough data
The window closed with too few signups to compare angles, so the cycle says exactly that instead of guessing.
Carried into cycle 3: Reconnect X, and give the next test 21 days
Does a customer's own story outperform ours?
Not started
The window opens when the approved posts go out. Nothing is measured before then, and nothing goes out before you approve.
Ledgerline and every post in the landscape are fictional and illustrative. The live app starts from empty states and shows only recorded numbers.
Autonomy without evidence is just risk. These are the rules the product actually enforces.
A recorded human decision gates every asset. Editing approved copy resets the gate.
Not an impression, not a projected lift. A real zero stays a zero, and missing data is named.
A blocked publication is recorded as blocked, with the setup step attached.
Bring one product and one objective. Banyan drafts the strategy and three assets, then waits for your approval. No content calendar, no platform homework, no virality guarantees.
Or start from your product URL