I'm excited to share this 2-minute explainer for Build More Better! If you've been wondering what it actually does, this is the clearest walkthrough yet of how it works and what I've been building. Watch how it works: https://t.co/2aBdy0pWFr
#BuildInPublic#Founders
@JohnGregQuantum Appreciate it. That phrasing has been the clearest so far:
not another AI output stream, but a ranked read on what deserves your next week.
Thanks for the feedback!
Building Build More Better, currently pre-beta.
It is for AI-native solo/duo builders who can ship fast but lose the thread across ideas, AI chats, feedback, signups, usage, and silence. BMB turns that mess into a ranked project read and one honest next move.
https://t.co/C7sWrkGXcH
@Cryptohunt10251 Building Build More Better.
It helps AI-native solo/duo builders who can ship fast but lose the thread across ideas, AI chats, feedback, signups, usage, and silence. BMB turns that mess into a ranked project read and one honest next move.
https://t.co/XJ7O788Vqx
@play04498976792 Agree. The best dashboard should separate “interesting metric” from “decision-changing metric.”
If it can say what changed, why it matters, and what to try next, it becomes useful.
If it only shows a better chart, the user still has to do the hard part.
This is a good list.
The part I would add before Day 1: decide what each post is supposed to teach you.
Feedback posts are not just traffic.
One post might test the pain.
One might test the promise.
One might test the audience.
One might test the channel.
Otherwise you can get comments and clicks but still not know what to change next.
Building Build More Better.
It is for AI-native solo/duo builders who can ship fast but lose the thread across ideas, AI chats, user feedback, signups, usage, and no-responses.
BMB turns that mess into a ranked project read and one honest next move: test, build, change direction, or stop.
Stage: private beta prep.
https://t.co/zOxE1l37RU
Editing might still be the right first use case if it is your own pain.
For me, the harder part is usually before editing: deciding what the post is supposed to prove, who it is for, and whether it connects to a real product conversation. I most often struggle with identifying the intent of the video beforehand.. Is it a 30 sec high level explainer? Is it a detailed dive into a subsection of features? What gets the most attention? What would be most valuable, etc.
My rough process is:
capture a real conversation/problem
write the useful point plainly
cut anything that sounds clever but does not help
edit just enough that it sounds human and clear
If I were testing your product, I’d compare two moments:
does it help me improve a draft?
or does it help me choose the right post before drafting?
Those are different products.
I’d chase dev tools only if you can name a painful workflow engineers already repeat.
“I love dev tools” is not evidence.
“Three engineers all lost 30 minutes debugging MCP config and would use this tomorrow” is evidence.
Non-technical markets can pay, but learning a market you do not understand from zero is slow.
I’d run a two-week test:
5 dev-tool conversations
5 visa/legal/admin conversations
Only score behavior: current workaround, urgency, willingness to try/pay, and access to buyers.
Then choose the market with sharper evidence, not louder advice.
Building Build More Better.
It’s for AI-native solo/duo builders who have too many ideas, AI chats, replies, signups, usage, and half-finished signals, but no clear next move.
BMB turns that into a ranked project read: test, build, change direction, or stop.
https://t.co/eUJbE0Mi73
180 clicks from replies is real pull, but 18 signups says the click promise and first page promise may not match yet.
What does your UTM data tell you about the following:
which reply angle got clicks?
which page section made people keep going?
which ask lost them?
Reaching out one by one makes sense, but I’d start with people who clicked or replied around the same pain, not broad LinkedIn.
You already proved attention. Now you can test whether attention turns into “I need this.”
@Hina_Afridi_ Building Build More Better.
It's for AI-native solo/duo builders with too many ideas, AI chats, replies, signups, and no clear next move.
BMB turns that scattered project signal into a ranked project read: test, build, change direction, or stop.
https://t.co/MbitHcMVMN
The risk with “what should I build?” is that it turns into idea generation with nicer UI.
I typiclly find that the more useful version is:
- what evidence do I already have?
- what pain keeps repeating?
- what would be easiest to test this week?
- what would make me stop building this?
The blueprint matters, but IMO the decision before the blueprint matters more.
Exactly. AI output is easy to demo. Decision-support is harder because it has to show its evidence state. I'm building in this space as well so I fully agree.
"What does this support?"
"What is missing?"
"How fresh is the context?"
"What should change next?"
This is what I care about and this is where the difference between “impressive response” and “useful system” starts to show.