Partial day — headline is the last complete day (2026-10-13).
twitter
tracked since 2026-10-13T12:40:37.904093+00:00
conclusion
Measured mentions per day
day (UTC)
mentions
2026-10-06
36
2026-10-07
16
2026-10-08
14
2026-10-09
22
2026-10-10
22
2026-10-11
12
2026-10-12
19
2026-10-13
13
2026-10-14
0
derived from
instead
word-boundary match over title + text, query='timeline' · window
2026-10-06 → 2026-10-15
· 157 matching posts
evidenceShowing 20 newest of 157
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twitterColinMaddenUGC9hpositive
The fastest way to kill a UGC campaign is a 4-page script telling the creator how to talk.
And the reason why goes back to what UGC stands for:
User.
Generated.
Content.
It's word of mouth with a camera pointed at it. The strongest form of marketing that has ever existed.
Facebook and Uber became #1 without ever n…The fastest way to kill a UGC campaign is a 4-page script telling the creator how to talk.
And the reason why goes back to what UGC stands for:
User.
Generated.
Content.
It's word of mouth with a camera pointed at it. The strongest form of marketing that has ever existed.
Facebook and Uber became #1 without ever needing a billboard to explain themselves. People told other people, and the product did the rest.
That's all good UGC is. Somebody talking about your app because they mean it.
The second you hand a creator a script telling them how to speak, what kind of energy to bring and which 12 value props they have to mention, you've turned word of mouth into a bad ad.
And people can tell it's an ad in milliseconds, so they scroll.
So let's look at what's winning instead.
A creator for Emma, a language app, opens on her own face, crying, mascara running down her cheeks. The text on the video says: "Why English is so hard".
Then she picks up her phone and the AI tutor tells her: "It's 'bologna,' but we say it like 'baloney.'"
Frame 1 is a mess. That's exactly WHY it works.
People are drowning in MrBeast-style edits and polished dopamine slop. What they crave is a real person, a real feeling and an honest finding.
The same thing happens in the comments when you let it.
We saw it with SpoilMe, an invite-only app we run UGC for.
Someone asked "Im scared to put my credit card info on there is it safe?". 10 replies came back, real users talking each other into the app.
Clipping, AI avatars and paid ads all live on the outside of that conversation, trying to buy their way in.
This is the whole brief we give our creators:
- The hook, word for word, as it appears on screen
- The second the product shows up
- What the creator must NEVER say
What's not in there:
- Scripts
- Tone direction
- "Say it with more energy"
- Your brand's 12 value props
If your brief is longer than this, it's a script.
When you pair this level of rawness with an app that makes som
Does it bother anyone else how the members of this family communicate (or don't communicate) with each other? Negativity and entitlement just ooze from this ad everywhere.
- The first thing is the brother and sister talking rudely to each other "FINE!"
- Mom's irritated at someone for adjusting a thermostat
- "You pro…Does it bother anyone else how the members of this family communicate (or don't communicate) with each other? Negativity and entitlement just ooze from this ad everywhere.
- The first thing is the brother and sister talking rudely to each other "FINE!"
- Mom's irritated at someone for adjusting a thermostat
- "You promised French toast, bruh," ... "I'm not your bruh, bruh." ... "Fine"
- The sister sees her brother drinking milk from the jug and says, "Ugh, gross."
- She tells him French toast isn't French, and he fires back, "Yeah right, then why is it called French? Genius." She rolls her eyes and says, "Fine, live in ignorance."
- Grandpa calls and Mom shoves him over to Dad who then cuts him off with "we're a bit busy now." The grandparents go straight to insulting his beard: "We don't like the beard. Never did… He looks like that actor we hate."
- Dad answers with sarcasm ("Good pep talk") and hangs up on them.
- Brother tries to impersonate his sister and text her boyfriend.
- Mom asks if anyone else is cold, and the Dad (who we learn adjusted the thermostat) lies and says "Don't know what you're talking about."
- Mom catches Dad turning down the thermostat: "I knew it!" instead of communicating...
- The older sister barks, "Mom, breathe."
- Dad asks who Asa is, and the daughter dodges: "He's a… person."
- The whole family crowds around the screen to spy on the older sister at the front door
- Mom barks at Dad, "Bruno, we have to go now, like, now, now!"
- Dad doesn't remember the ice skating lessons (or she never told him) and when he finds out goes straight to "Hey hon… could we talk?" like he's trying to get out of it.
I mean, it demonstrates the capabilities really well. It's cool. But I feel like they could have done this from a positive, functional framing instead.
He built a tiny website widget for electricians and mechanics… and it now does $85K/month AUD ($50K+ USD).
Tom had zero coding experience.
His brother and a friend helped him hack together an MVP in Feb last year. On paper it was a terrible idea - he hired a lead designer, a head dev, and a front-end dev before he ha…He built a tiny website widget for electricians and mechanics… and it now does $85K/month AUD ($50K+ USD).
Tom had zero coding experience.
His brother and a friend helped him hack together an MVP in Feb last year. On paper it was a terrible idea - he hired a lead designer, a head dev, and a front-end dev before he had a single customer.
He funded the whole thing with the leftover cash from a marketing agency he’d been running for 10 years.
Then instead of TikTok, UGC, or building in public… he went door to door with an iPad.
He didn’t skip a single business.
Music studios, repair shops, electricians - he’d walk in, show the widget on an iPad in their branding, and hand them a printed brochure.
Trades kept saying yes because they’re direct, no-bullshit, and they only pay for stuff that pays for itself.
That’s how he got his first 10 customers. Now Avenue is embedded on client sites AND inside Google’s “Book Online” button through a direct Google partnership.
His one piece of advice: sell before you build. If someone will hand over cash before the product exists, you’ve found something worth pursuing.
If someone invested $500,000 in the Rolls Royce Stock instead of buying Rolls Royce Phantom in 2020 https://t.co/dk8negVYFzIf someone invested $500,000 in the Rolls Royce Stock instead of buying Rolls Royce Phantom in 2020 https://t.co/dk8negVYFz
I think shipping code is getting easier. Figuring out what broke in production? Not so much 😅
I like the idea behind Sazabi: instead of setting up endless alerts, it watches your logs, spots issues, and helps figure out what went wrong.
Pretty interesting direction for the AI coding era.I think shipping code is getting easier. Figuring out what broke in production? Not so much 😅
I like the idea behind Sazabi: instead of setting up endless alerts, it watches your logs, spots issues, and helps figure out what went wrong.
Pretty interesting direction for the AI coding era.
I was wrong. I said agents could never handle design. https://t.co/59wbKREKuK just proved me an idiot
For 2 years my agents could write anything. Captions, scripts, entire newsletters
But the moment a post needed a carousel or an image, it was back to me. Open Canva, pick a template, fix the fonts, export, upload, sc…I was wrong. I said agents could never handle design. https://t.co/59wbKREKuK just proved me an idiot
For 2 years my agents could write anything. Captions, scripts, entire newsletters
But the moment a post needed a carousel or an image, it was back to me. Open Canva, pick a template, fix the fonts, export, upload, schedule. 45 minutes. Every single time
I was convinced that step would never be automated. Design needs taste. Agents don't have taste
Then I connected PostNitro to Claude
One prompt. "Turn my latest post into a 6 slide LinkedIn carousel on my brand kit and schedule it for Thursday 9am"
About a minute later it was designed in my fonts, my colors, my logo, and sitting on my calendar
No Canva. No export. No upload. The agent did the whole chain
And the taste? Still mine. I built my templates once. The agent just picks the right one for each platform
It's an MCP server with 35 tools. Carousels, image posts, video. Publishes natively to LinkedIn, Instagram, TikTok, Threads, Facebook and Pinterest
Here's how I'd set it up:
1. Go to https://t.co/qao582FfQ3 and hit connect. OAuth, no API key
2. Build your brand kit once. Fonts, colors, logo, headshot. Never describe your brand in a prompt again
3. Give it one real post to turn into a carousel. Watch it land on your calendar
4. Don't trust it yet? Ask for drafts instead. Agent designs at 3am, you open the editor, change the headline, hit schedule at 9
5. Running your own agents? On OpenClaw it's npx skills add postnitro/postnitro-agent. On Claude Code it's a plugin. Both drive the CLI end to end with an API key
6. Loop it. Every Monday: plan the week, 3 carousels Mon to Wed at 9am, save as drafts
Only catch: X is a source and export format, not a publishing destination yet. Export the PDF and post it yourself
I was wrong about design. I'm fine with that. Being wrong and switching fast is how you win
Go set this up tonight
Scheduling and agent access start on their Creator+ plan. PH40AGENTS get
Plenty of app founders will lose 4 figures on a memecoin and laugh about it.
Then a creator asks for $100, with no guaranteed ROI, and they turn into Charlie Munger and want proof of return before they spend a cent.
This exact mindset is the #1 campaign killer in UGC, and the picture below explains it better than I e…Plenty of app founders will lose 4 figures on a memecoin and laugh about it.
Then a creator asks for $100, with no guaranteed ROI, and they turn into Charlie Munger and want proof of return before they spend a cent.
This exact mindset is the #1 campaign killer in UGC, and the picture below explains it better than I ever will:
The guy on top turns around one swing away from the diamonds.
The guy underneath keeps digging.
This is UGC in a nutshell.
That mindset shows up as a founder who stops EVERYTHING the second CPMs tick up, or as a founder who gives the whole channel 30 days to prove itself.
You wouldn't run your life like that.
Nobody sane dumps his girlfriend after a month because she did one small thing that annoyed him.
Quitting the gym after 4 weeks because your hamstrings are sore and you somehow aren't CBUM yet sounds insane when you say it out loud.
And walking out of boxing after your first spar because your partner caught you clean and left a small cut? That guy will never become a fighter.
Here's why you have to give UGC time.
Across our programs, 96% of videos land under 10K views. Around 0.3% break 500K, and that 0.3% drives about 65% of ALL views.
So you need a lot of videos. If you have 10 creators each posting twice a day, that's about 600 videos a month.
Nobody predicts which video lands in the 0.3%. The best thing you can do is give your creators enough shots to find it.
Expect the first month of running UGC to look average. You're paying to find out what works, and the results come after.
Here's what to look at in your first month instead of CPM:
- Which of your formats beats the others on saves and shares
- Which creators beat their own median views
- Which comments keep showing up (those become next month's hooks)
- Which hook got even one outlier, because that's the one you clone
Then stick to these 3 rules:
1. Never kill the channel off one bad week
2. Cut formats and creators on day 14 to 21, keep the program
3. Build mon
they found a man asleep on cardboard and handed him a tracksuit…
90 seconds later he was posing under petrol station lights, and the clip ran EVERYWHERE.
one casting decision took a UK streetwear brand from zero to $500k+ off nothing but a phone and a london street, with no agency behind a single frame.
every rival …they found a man asleep on cardboard and handed him a tracksuit…
90 seconds later he was posing under petrol station lights, and the clip ran EVERYWHERE.
one casting decision took a UK streetwear brand from zero to $500k+ off nothing but a phone and a london street, with no agency behind a single frame.
every rival in the category stared at the same opening and was too SCARED to take it…
and the brands copying them right now are walking into a ceiling none of them have priced before publishing.
i went through the full library frame by frame and wrote the whole machine down:
→ the camera-height move carrying the entire moral argument with ZERO words on screen
→ the design decision making the transformation readable from the back, at distance, in bad light
→ the casting lever doing all the distribution work (why the garment never interrupts a scroll, and who has to instead)
→ how to engineer two incompatible reactions so both sides push the same clip back into the same feed, for free
→ four teardowns shot by shot, including the clip with a runway measured in YEARS next to the one measured in weeks
→ seven principles you lift into any category, plus the full rebuild in a market nothing like streetwear
→ the risk nobody prices before publishing, and the brand story you get stuck with for three years after
all reverse-engineered from a brand selling scarcity drops to teenagers paying with their own money.
like + comment "SHOCK" and i'll send over the doc
(must be following + RT for priority access)
did the math on a normal gym routine:
→ pre-workout: ghost $44.99, aonic build $10.27
→ protein powder: optimum nutrition $57.63, aonic fuel powder $23.46 (24 servings of 32 g)
→ electrolytes: liquid i.v. $46.86, aonic race $9.35 (30 sticks)
the catch is a membership: $49 for the first year, then $149
one box of r…did the math on a normal gym routine:
→ pre-workout: ghost $44.99, aonic build $10.27
→ protein powder: optimum nutrition $57.63, aonic fuel powder $23.46 (24 servings of 32 g)
→ electrolytes: liquid i.v. $46.86, aonic race $9.35 (30 sticks)
the catch is a membership: $49 for the first year, then $149
one box of race instead of liquid i.v. saves $37.51 a month, so the founding price is back in about six weeks
@AonicClub @maxjmeier
Thanks to @DanKulkov, who went to the other side and came back alive!
This video is just gold!
There's nothing new here, as it's all mentioned in Apple's terms and conditions, but it's buried under hundreds of pages and written in language that's hard to understand and super vague.
I think we all saw it coming the m…Thanks to @DanKulkov, who went to the other side and came back alive!
This video is just gold!
There's nothing new here, as it's all mentioned in Apple's terms and conditions, but it's buried under hundreds of pages and written in language that's hard to understand and super vague.
I think we all saw it coming the moment Apple reduced (or removed) their famous initial boost due to the huge number of vibe-coded apps.
It's pretty clear now that the "machine-gun" app development approach is so over.
It's just the way business works. What works today might not work tomorrow, so you either adapt quickly or ngmi.
It's time to focus on app quality and growing apps brand instead.
the whole schtick of software factory is that shipping doesn't have to start with your prompt or end with merging to main.
Here's our software factory, running fully on Runlayer agents
the signals we pick up are coming from multiple places: customer calls (Fireflies), customer Slack channels, red CI on main, etc. you…the whole schtick of software factory is that shipping doesn't have to start with your prompt or end with merging to main.
Here's our software factory, running fully on Runlayer agents
the signals we pick up are coming from multiple places: customer calls (Fireflies), customer Slack channels, red CI on main, etc. you can also just @ them in Slack, DM them, or drop a pin on any part of the UI (yes, on prod) thanks to https://t.co/qyHHApFqUL - a pin can be left on any element plus a short note. The element, the page and the note go to a webhook, and that starts an agent
every ask gets checked against Linear and open PRs. if it's already tracked, the customer gets added to the existing issue as one more voice, so we don't end up with five tickets for the same thing. Small, clear stuff gets built right away. Anything bigger, or anything near auth or hotpath, comes to relevant engs with a short write-up or draft PR instead
The building part - an agent inside sandbox clones the repo, reproduces the bug, makes the fix, runs the tests and opens a PR with before/after screenshots or a recorded walkthrough demo if change is bigger so noboy has to checkout the branch locally. Another agent performs an adversarial review. Small, non-risky changes are approved and automerged straight away. when the reviewer or CI pushes back, an agent picks the PR back up: it answers every comment, fixes what's real, argues with what isn't, fixes red CI and merge conflicts, then asks for another review. Humans jump in only when requested. After the merge it goes to prod, a QA fuzzing agent pokes at it, and whoever relevant needs to be informed is DMed about it (FDEs, Sales that promised a feature, customers that wanted to see a bug fixed).
This way we ship so fast that internal enablement has become a problem - sales/FDEs were not aware what's even live already. in one 24-hour stretch this week, a single agent got 91 PRs merged. To solve that, we do two things:
- changelog as append only le
From my data, the worst hook in TikTok is the surprised face. 🙊
It looks scripted and got the lowest views for us
Instead, when we tried darker-lighting, slanted camera angle and more subtle facial expressions (irritation, awkward laugh, sadness) it boosted views by 500x https://t.co/Zu0kmetsykFrom my data, the worst hook in TikTok is the surprised face. 🙊
It looks scripted and got the lowest views for us
Instead, when we tried darker-lighting, slanted camera angle and more subtle facial expressions (irritation, awkward laugh, sadness) it boosted views by 500x https://t.co/Zu0kmetsyk
If someone invested $250,000 in the Porsche Stock instead of buying GT3 RS in 2022 https://t.co/EjhbjnG80WIf someone invested $250,000 in the Porsche Stock instead of buying GT3 RS in 2022 https://t.co/EjhbjnG80W
Asked Opus 5.5, GPT-6.1 Sol, and Muse Wonder Full to fix a bug
Opus found the root cause and filed a pr
GPT-6.1 Sol asked a question, crashed from the async question tool interrupt, found the bug, fixed it, wrote 300 lines of tests, and explained it in impossible to understand terms.
Muse Wonder Full found a small P…Asked Opus 5.5, GPT-6.1 Sol, and Muse Wonder Full to fix a bug
Opus found the root cause and filed a pr
GPT-6.1 Sol asked a question, crashed from the async question tool interrupt, found the bug, fixed it, wrote 300 lines of tests, and explained it in impossible to understand terms.
Muse Wonder Full found a small PR someone else had filed and said "you should probably merge this instead"
I really like this model.
If HR asks how soon you can start, never say:
Tomorrow
In 2 weeks
In 30 days
Instead say:If HR asks how soon you can start, never say:
Tomorrow
In 2 weeks
In 30 days
Instead say:
years in backend. Principal Engineer at Atlassian.
Concepts I wish I'd learned in year 2 instead of year 8:
→ p99 latency, and why averages lie
→ Connection pooling
→ Backpressure
→ Idempotency keys
→ Reading query plans (EXPLAIN ANALYZE)
→ Write amplification
→ Consistent hashing
→ Change data capture
→ The outbox p…years in backend. Principal Engineer at Atlassian.
Concepts I wish I'd learned in year 2 instead of year 8:
→ p99 latency, and why averages lie
→ Connection pooling
→ Backpressure
→ Idempotency keys
→ Reading query plans (EXPLAIN ANALYZE)
→ Write amplification
→ Consistent hashing
→ Change data capture
→ The outbox pattern
→ Tail latency amplification
13 years in backend. Principal Engineer at Atlassian.
Concepts I wish I'd learned in year 2 instead of year 8:
→ p99 latency, and why averages lie
→ Connection pooling
→ Backpressure
→ Idempotency keys
→ Reading query plans (EXPLAIN ANALYZE)
→ Write amplification
→ Consistent hashing
→ Change data capture
→ The outbo…13 years in backend. Principal Engineer at Atlassian.
Concepts I wish I'd learned in year 2 instead of year 8:
→ p99 latency, and why averages lie
→ Connection pooling
→ Backpressure
→ Idempotency keys
→ Reading query plans (EXPLAIN ANALYZE)
→ Write amplification
→ Consistent hashing
→ Change data capture
→ The outbox pattern
→ Tail latency amplification
None of them are hard.
Every one of them would have saved me from tonnes of headaches.
I’m releasing NeuroRoute 1024, an update to my old Neuroute project. A project written in C11 that combines a deterministic routing engine with a multi-language development toolchain.
The repository contains two independent components.
NeuroRoute Core is a lightweight routing and spatial-matching engine built around:…I’m releasing NeuroRoute 1024, an update to my old Neuroute project. A project written in C11 that combines a deterministic routing engine with a multi-language development toolchain.
The repository contains two independent components.
NeuroRoute Core is a lightweight routing and spatial-matching engine built around:
* A graph of up to 1,024 nodes with weighted connections, activation thresholds, and deterministic route selection.
* Exact 1,024-bit spatial matching using Hamming distance across 16 × 64-bit words.
* Synaptic activity counters, fallback routing, and atomic synchronization for shared state.
* A standalone C library that can be integrated into other applications.
NeuroRoute DevTools is a command-line development environment supporting eight programming languages:
C, C++, Python, Rust, JavaScript, Go, Zig, and Java.
It provides a consistent interface for detecting projects, identifying installed toolchains, initializing projects, building, running, testing, and cleaning.
Instead of introducing another compiler or translating code between languages, DevTools works directly with the existing toolchains, including GCC, Clang, Cargo, Node.js, npm, Go, Zig, and the Java JDK.
Project detection examines source files and manifests, prioritizes explicit project configurations, and reports ambiguous results rather than guessing.
Process execution uses POSIX APIs without passing commands through a shell. Missing toolchains and unsupported project configurations are reported explicitly.
Both components are independently buildable and maintained in a single repository, with their own source code, tests, and documentation.
The release includes Linux validation using GCC and Clang, static analysis, AddressSanitizer and UndefinedBehaviorSanitizer testing, source-integrity checks, and architecture documentation. Rust and Zig integration is implemented but was not exercised with installed toolchains in the local validation environment.
The objective is to prov
most startup creator programs flop for the same five reasons:
> nobody on the team is actually online
> it's outsourced to an agency that checks in monthly
> the video goes viral and the product is an afterthought > they track views instead of revenue
> they expect results in month onemost startup creator programs flop for the same five reasons:
> nobody on the team is actually online
> it's outsourced to an agency that checks in monthly
> the video goes viral and the product is an afterthought > they track views instead of revenue
> they expect results in month one
An Anthropic engineer took the time to explain context in AI, and that’s exactly why I shared it.
AI is moving beyond simply remembering conversations. It’s moving toward understanding the bigger picture.
Imagine an AI that understands your goals, preferences, past interactions, ongoing projects, and what you’re tryi…An Anthropic engineer took the time to explain context in AI, and that’s exactly why I shared it.
AI is moving beyond simply remembering conversations. It’s moving toward understanding the bigger picture.
Imagine an AI that understands your goals, preferences, past interactions, ongoing projects, and what you’re trying to accomplish without having to explain everything from scratch every time.
That’s where context becomes a real advantage.
The better an AI system understands the situation behind a request, the more relevant and useful its output becomes.
This will shape how we build AI products, agents, and workflows.
Instead of watching another hour of Netflix, watch this and spend that time learning how context works in AI.
It’s a concept worth understanding now, not after everyone else has caught on. https://t.co/wgGcwtxVCc