Partial day — headline is the last complete day (2026-10-13).
twitter
tracked since 2026-10-04T10:55:23.750695+00:00
conclusion
Measured mentions per day
day (UTC)
mentions
2026-09-27
0
2026-09-28
0
2026-09-29
0
2026-09-30
0
2026-10-01
2
2026-10-02
9
2026-10-03
13
2026-10-04
14
2026-10-05
15
2026-10-06
3
2026-10-07
2
2026-10-08
4
2026-10-09
1
2026-10-10
3
2026-10-11
4
2026-10-12
10
2026-10-13
4
2026-10-14
0
derived from
paste
word-boundary match over title + text, query='timeline' · window
2026-09-27 → 2026-10-15
· 82 matching posts
evidenceShowing 20 newest of 82
•
twitterdavid_attisaas12hpositive
"I'm not willing to move my monetisation to adapty because revenuecat works well already even though... I'd make more $$ with adapty"
we heard this excuse often. we just removed it :)
developers on revenuecat can now ask their coding agent (claude code, codex, cursor) to move their app to adapty.
the agent works th…"I'm not willing to move my monetisation to adapty because revenuecat works well already even though... I'd make more $$ with adapty"
we heard this excuse often. we just removed it :)
developers on revenuecat can now ask their coding agent (claude code, codex, cursor) to move their app to adapty.
the agent works through the adapty CLI, and revenuecat keeps running until the new app version ships.
how to try it:
- create a revenuecat secret api key: v2, read only on project configuration.
- run npm install -g adapty and adapty auth login in the agent’s terminal.
- tell the agent “migrate my revenuecat project to a new adapty app called acme with the adapty cli”.
paste the key into the adapty page it opens and answer its mapping questions.
- ask for the rest with one prompt each: paywall designs, app code, integrations, store events. then test a sandbox purchase and release.
docs: https://t.co/pqH2AqUmuV
RT @joelhooks: love the the pattern of primitives described here
shadcn ish blocks for agents to copy and paste patterns from
stealing th…RT @joelhooks: love the the pattern of primitives described here
shadcn ish blocks for agents to copy and paste patterns from
stealing th…
STOP COPY-PASTING BETWEEN YOUR AIs. NOW THEY TALK TO EACH OTHER.
Until today you were the messenger. Copy from Grok, paste into Claude, copy from Claude, repeat.
@BolterApp just fixed that. Here's how they connect:
1. Copy one line
2. Paste it into your AI
3. Confirm with a code
4. It's in the chat
Then you share i…STOP COPY-PASTING BETWEEN YOUR AIs. NOW THEY TALK TO EACH OTHER.
Until today you were the messenger. Copy from Grok, paste into Claude, copy from Claude, repeat.
@BolterApp just fixed that. Here's how they connect:
1. Copy one line
2. Paste it into your AI
3. Confirm with a code
4. It's in the chat
Then you share its handle and it starts working with your other AIs and your friends' AIs.
Give them a task and they split it up. One picks the landing site, another designs the wheels, another writes the code. The rover is ready and you didn't copy a thing.
Each AI keeps its memory and you approve every connection.
Link below 👇🏼
nobody grows up wanting to copy-paste data into a spreadsheet.
if your team spends hours on it, that's not their job.
it's a system you haven't built yet.nobody grows up wanting to copy-paste data into a spreadsheet.
if your team spends hours on it, that's not their job.
it's a system you haven't built yet.
THIS IS ACTUAL F*CKING GOLD
Anthropic just dropped one of the best tricks for Claude Code.
The idea: run Sonnet, Haiku and Opus 5.5 together, each one doing only the job it's best at.
Better output and way fewer tokens, because every task lands on the right model.
You just launch Claude Code like this:
claude --mo…THIS IS ACTUAL F*CKING GOLD
Anthropic just dropped one of the best tricks for Claude Code.
The idea: run Sonnet, Haiku and Opus 5.5 together, each one doing only the job it's best at.
Better output and way fewer tokens, because every task lands on the right model.
You just launch Claude Code like this:
claude --model sonnet --advisor opus
here's the split:
→ Sonnet 5 runs the session and writes the code
→ Haiku 5.5 explores files and docs in parallel
→ Opus 5.5 stays on call as advisor for the big calls
→ you stop burning Opus context on work that doesn't need it
Opus only steps in at three moments:
→ before a plan locks
→ when the same error shows up twice
→ before calling it done
Sonnet builds. Haiku explores. Opus reviews.
JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split
the full tree
> Sonnet 5 runs the main session and edits code
> search maps the repo on Haiku 5.5
> grep finds call sites on Haiku 5.5
> docs pulls the API reference on Haiku 5.5
> Opus 5.5 on call as advisor, reads the whole transcript when consulted
> JEV routes micro-forks in milliseconds
paste the tree and this prompt into Claude Code ↓
"Rebuild my Claude Code setup around this tree:
1. Run the main session on Sonnet 5 with Opus 5.5 as advisor.
2. Create three read-only Haiku 5.5 subagents: search (maps the repo), grep (finds call sites), docs (pulls the API reference).
3. Add one rule to CLAUDE.md: consult the advisor before locking a plan, after the same error twice, and before calling a task done.
4. Route fast deterministic forks (tool choice, path selection, retries) through JEV.
Show me every change as a diff first. No edits until I say go."
↳ https://t.co/vOifNVjYxB
you'll use this every single day.
I made an animated commercial with Claude Code... and now you can do it too
Just paste in my guide + the prompts to recreate it based on your own company
The result is honestly insane...I made an animated commercial with Claude Code... and now you can do it too
Just paste in my guide + the prompts to recreate it based on your own company
The result is honestly insane...
Want to get into Data Brokering but don’t know where to find buyers?
I put together a free 63-page guide on setting up your LinkedIn and building that buyer network.
You’ll learn how to:
- Set up your personal LinkedIn profile + Company Page.
- Add data advisory to your existing business.
- Find brokers, licensors, …Want to get into Data Brokering but don’t know where to find buyers?
I put together a free 63-page guide on setting up your LinkedIn and building that buyer network.
You’ll learn how to:
- Set up your personal LinkedIn profile + Company Page.
- Add data advisory to your existing business.
- Find brokers, licensors, AI labs + enterprise buyers.
- Identify the right decision-makers and job titles.
- Build targeted prospect lists in Sales Navigator.
- Use Open InMails, connection requests + DMs.
- Start conversations with copy-and-paste outreach messages.
- Turn positive replies into booked calls.
- Follow up through LinkedIn, email + phone.
- Keep interested contacts organized in your CRM.
- Use Boardy to find relevant introductions.
- Uncover exactly what buyers want to acquire.
- Spot and disqualify unsuitable deals early.
- Turn call transcripts into buyer mandates with AI.
- Build seller campaigns around those mandates.
- Negotiate referral fees, commissions + fee splits.
- Get partner agreements and onboarding in place.
- Hand qualified sellers to the right partner.
- Understand what your partner handles after the introduction.
- Find experienced advisors + technical partners.
- Turn LinkedIn prospect lists into verified email lists.
- Scale buyer outreach with cold email.
- Research potential buyers through sources like BuiltWith.
- Collaborate with other advisors and share deal flow.
Comment “63” and I’ll send you the guide.
Most AI video tools make one clip and stop.
But growing an account takes consistency. Posting every single day, for weeks, without burning out.
That's where @WithAmplify feels different. You create your own AI influencer, paste a video that already works, and it fills your calendar with 2 posts a day.
Creating and p…Most AI video tools make one clip and stop.
But growing an account takes consistency. Posting every single day, for weeks, without burning out.
That's where @WithAmplify feels different. You create your own AI influencer, paste a video that already works, and it fills your calendar with 2 posts a day.
Creating and posting, in one place. First month is free.
Influencers are cooked.
Jean Philanthrope has 59M views in three weeks, and he isn't real.
Now your brand can have its own:
1. Type who you want
2. Paste any viral video, she takes their place
3. Tap Schedule, we post it for you, twice a day
Grow your followers without ever showing your face. Your first month is fre…Influencers are cooked.
Jean Philanthrope has 59M views in three weeks, and he isn't real.
Now your brand can have its own:
1. Type who you want
2. Paste any viral video, she takes their place
3. Tap Schedule, we post it for you, twice a day
Grow your followers without ever showing your face. Your first month is free. Link below.
Your most expensive model shouldn't be doing your cheapest work.
This Claude Code workflow splits the job across Opus 5.5, Sonnet 5.5, and Haiku 5.5:
→ Opus plans and synthesizes the final PR
→ Sonnet handles precise refactors in isolated worktrees
→ Haiku filters candidates at 340 tok/s
The clever part? Haiku steps …Your most expensive model shouldn't be doing your cheapest work.
This Claude Code workflow splits the job across Opus 5.5, Sonnet 5.5, and Haiku 5.5:
→ Opus plans and synthesizes the final PR
→ Sonnet handles precise refactors in isolated worktrees
→ Haiku filters candidates at 340 tok/s
The clever part? Haiku steps in at 3 critical bottlenecks:
→ Before dispatch: Scans the codebase in parallel and extracts AST candidates without bloating context.
→ During validation: Catches malformed tool calls and false positives before Sonnet touches them.
→ Before synthesis: Checks that every candidate matches the target JSON schema.
Haiku filters. Sonnet refactors. Opus ships.
Here's how to set up the full workflow in Claude Code:
Let Opus plan. Use high effort to draft workflow scripts in .claude/workflows/.
Fan out Haiku. Run parallel AST sweeps across target files at low effort.
Validate candidates. Use schema checks to filter false positives before generating patches.
Let Sonnet refactor. Run verified changes in isolated Git worktrees to avoid edit conflicts.
Keep intermediate state out of context. Use runtime variables to avoid carrying unnecessary data between agents.
Cache prompt prefixes. Configure a 1-hour prompt cache TTL to reduce redundant processing where supported.
The same principle applies to agent frameworks like Jev: use deterministic code for simple routing decisions, and call frontier models only when reasoning is actually needed.
Author on high. Refactor on medium. Let Haiku handle the filtering.
Want to try it? Paste this prompt into Claude Code:
Configure my Claude Code workspace for dynamic workflows.
1. Audit ~/.claude/workflows and .claude/workflows.
- Draft workflows for codebase audits, parallel migrations, and schema validation.
- Use Haiku at low effort for AST sweeps.
- Use Sonnet at medium effort for refactoring.
- Run workers in isolated Git worktrees.
2. Review ~/.claude/settings.json for supported workflow settin
2,400 people bookmarked this, so I turned the entire process into a one-page SOP.
Here's my 6-step process (and prompts) for ranking in Google's AI Overviews:
1. Pick one search you actually want to win
Ideally a buying-intent query that already triggers an AI Overview.
2. Track how Google answers it
Collect the A…2,400 people bookmarked this, so I turned the entire process into a one-page SOP.
Here's my 6-step process (and prompts) for ranking in Google's AI Overviews:
1. Pick one search you actually want to win
Ideally a buying-intent query that already triggers an AI Overview.
2. Track how Google answers it
Collect the AI Overview over 7+ days.
You can do this in 2 ways:
FREE
Search it manually every day and save:
- The full answer
- Citations
- Date
PAID
Add the prompt to a tool like https://t.co/IbVSm7Cw9R and automatically track the answers + citations over time.
3. Find what keeps showing up
Paste all the answers into ChatGPT or Claude and add the following prompt:
--
Analyse these Google AI Overview answers and find the patterns that appear across them.
Identify:
- Recurring claims
- Repeated entities
- Common sources
- Common answer formats
- Repeated information/order
- Major differences
For each pattern, show how often it appears (e.g. 8/10 answers).
Then summarise the most consistent patterns Google seems to favour.
--
You’re basically building a picture of what Google consistently includes for that search.
4. Find what Google is rewarding
Now study the pages that get cited most frequently by using the following prompt:
--
Analyse these pages that Google cites in the AI Overview and tell me what they have in common.
[paste URLs]
Focus on:
- How quickly they answer the question
- Topics and entities they cover
- How they structure the information
- What evidence, data or examples they include
- Whether they use lists, tables, comparisons or steps
- What gaps or differences exist between them
Then summarise:
1. The main patterns across the cited pages
2. What Google seems to be rewarding
3. What a better page should include to compete
--
You want to understand both what they have in common AND what’s missing.
5. Build something better
Use everything you found to create or improve your page.
- Cover the important topics
- Include th
If I lost everything and had to get to $30K+/month in 30 days on LinkedIn, this is the EXACT system I'd follow
(and I'm giving it away for free)
For context -
I don't care if you have 0 connections, live in your mom's basement or have never sent a DM
People think they need a big audience to sign clients on LinkedIn…If I lost everything and had to get to $30K+/month in 30 days on LinkedIn, this is the EXACT system I'd follow
(and I'm giving it away for free)
For context -
I don't care if you have 0 connections, live in your mom's basement or have never sent a DM
People think they need a big audience to sign clients on LinkedIn
You DON’T
You need a profile that sells for you, connection requests people actually accept, and DMs that turn into calls
That's it
This exact system helped:
- Kyle go from $15K/mo to $64K+/mo in 4 months
- Marcos make $1.9M+ in 19 months
- Aidan hit $35K+/mo
- Alba make $120K+ cash last month
I usually keep this locked up for clients who pay me $12K+
So I put the whole thing into 1 system:
TY'S $30K IN 30 DAYS LINKEDIN SYSTEM
Inside:
- The 4-word SECRET phrase that 2-3x's booked calls
- 10 copy-paste DM templates (35%+ reply rates)
- 2 hours of my PRIVATE masterclasses (the same ones my $1.9M client studied)
- The 30-min profile training that books 3-5+ calls/week on autopilot
- The checklist for a 50%+ connection acceptance rate
- My 3-step strategy to sign clients like it's 2036
want it?
details below 👇
ADD /products.json?limit=250 TO ANY COMPETITOR'S SHOPIFY STORE URL
NOW OPEN THE BROWSER CONSOLE (F12) AND PASTE THIS:
fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.updated_at)-new Date(a.updated_at));sorted.slice(0,10).forEach(p=>console.log(p.updated_at.sli…ADD /products.json?limit=250 TO ANY COMPETITOR'S SHOPIFY STORE URL
NOW OPEN THE BROWSER CONSOLE (F12) AND PASTE THIS:
fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.updated_at)-new Date(a.updated_at));sorted.slice(0,10).forEach(p=>console.log(p.updated_at.slice(0,10),p.title,p.vendor,'$'+p.variants[0].price))})
THIS SHOWS YOU THE 10 MOST RECENTLY UPDATED PRODUCTS SORTED BY UPDATE DATE. THE PRODUCT THEY EDITED THIS MORNING IS THE PRODUCT THEY'RE ACTIVELY OPTIMIZING RIGHT NOW
A PRODUCT UPDATED 5 TIMES IN 2 WEEKS = THEY'RE TESTING PRICES, DESCRIPTIONS, AND IMAGES IN REAL TIME. THIS PRODUCT IS IN THEIR ACTIVE TESTING PHASE. THE FACT THEY KEEP TOUCHING IT MEANS IT'S SHOWING PROMISE BUT NOT CONVERTING YET
NOW RUN THE SAME CODE BUT SORT BY created_at INSTEAD:
fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.created_at)-new Date(a.created_at));sorted.slice(0,10).forEach(p=>console.log(p.created_at.slice(0,10),p.title,p.vendor,'$'+p.variants[0].price))})
THESE ARE THEIR 10 NEWEST PRODUCTS. THE ONES THEY JUST SOURCED AND ARE ABOUT TO RUN ADS ON. YOU'RE SEEING THEIR PRODUCT PIPELINE BEFORE THEY LAUNCH
NOW CROSS-REFERENCE WITH THEIR BEST-SELLING SORT: /collections/all?sort_by=best-selling
THE PRODUCTS THAT ARE BOTH NEW (created_at LAST 2 WEEKS) AND ALREADY APPEARING ON PAGE 1 OF BEST-SELLING = FAST WINNERS. THEY LAUNCHED 2 WEEKS AGO AND ARE ALREADY OUTSELLING PRODUCTS THAT HAVE BEEN THERE FOR MONTHS
COMBINE ALL THREE:
RECENTLY UPDATED = WHAT THEY'RE ACTIVELY OPTIMIZING RIGHT NOW
RECENTLY CREATED = WHAT THEY'RE ABOUT TO LAUNCH
NEW + BEST-SELLING = THEIR FASTEST-RISING WINNERS
3 DATA POINTS FROM ONE JSON ENDPOINT AND ONE SORT URL. THEIR TESTING PIPELINE. THEIR OPTIMIZATION PRIORITIES. THEIR FASTEST-RISING PRODUCTS. UPDATED IN REAL TIME. THEY HAVE NO IDEA YOU CAN SEE THIS
(I built the AI tool that does the page part - paste any aliexpress link, full page
Spent months building the app. Then spent way longer figuring out how to get anyone to see it 😅
Opening Canva for an hour just to post something that still looked like an ad… so I stopped. Meanwhile a worse app in my niche was everywhere with simple slideshows.
I just wanted something that already worked, made from m…Spent months building the app. Then spent way longer figuring out how to get anyone to see it 😅
Opening Canva for an hour just to post something that still looked like an ad… so I stopped. Meanwhile a worse app in my niche was everywhere with simple slideshows.
I just wanted something that already worked, made from my own site, so I could get back to building. That’s why I made Unposed.
Paste your site → get hooks and styles pulled from stuff that already went viral → tweak a couple words and post from your phone.
Got my first user by using it on my own thing. Still would rather ship than post, this just makes the posting part not suck.
https://t.co/DL58Tl0Uzw if you’re stuck in the same loop 👀
Turn Any Story into a Complete AI Film!
Use this Master Prompt to transform your story into a complete film production plan — from character design and storyboards to image prompts, video prompts, sound design, and final editing.
Just paste your story and start creating! 🚀
Prompt :
UNIVERSAL COMPLETE AI FILM PRODUCT…Turn Any Story into a Complete AI Film!
Use this Master Prompt to transform your story into a complete film production plan — from character design and storyboards to image prompts, video prompts, sound design, and final editing.
Just paste your story and start creating! 🚀
Prompt :
UNIVERSAL COMPLETE AI FILM PRODUCTION MASTER PROMPT
Story → Characters → Storyboard → Images → Video → Voice → Editing → Final Film
YOUR ROLE
Act as a professional film director, screenwriter, cinematographer, storyboard artist, character designer, AI filmmaking expert, and video editor.
Y
Your AI isn't bad at design. It has just never seen good design.
I've tested 100+ vibe coding resources this year. These are the 40 I actually kept, grouped by what you're stuck on.
Bookmark this 🔖
1. 👑 https://t.co/RlChWqggj8
Why it's different from everything below:
- Every one is a complete prompt, not a snippet …Your AI isn't bad at design. It has just never seen good design.
I've tested 100+ vibe coding resources this year. These are the 40 I actually kept, grouped by what you're stuck on.
Bookmark this 🔖
1. 👑 https://t.co/RlChWqggj8
Why it's different from everything below:
- Every one is a complete prompt, not a snippet you wire up yourself
- 3 steps: copy the prompt, paste it into your AI, launch it live
- 600+ award-winning prompts, all in one place
- Full source code to download and edit
- Works with Claude Code, Cursor or v0
Built for founders and freelancers who want award-level sites without a design team or a week of tweaking. If you only open one link in this post, make it this one.
2. https://t.co/zii2nKAKiq - design systems as markdown your agent can read
3. https://t.co/mHD5eSDPKY - ready-made prompts for dashboards and landing pages
4. https://t.co/iRLY9tbhpW - curated high-end sites
5. https://t.co/hOf1AxeaT7 - real UI inspiration mapped to prompts
6. https://t.co/bhB2GfGIix - 2,000+ real product styles with typography
7. https://t.co/ZNFmqbqGsp - 2,600+ examples of how top design systems solve the same element
8. https://t.co/9FlWM4hqJb - curated collection of beautiful websites
9. https://t.co/qeCSncdyPP - the best of web design, recognized and ranked
10. https://t.co/X4Y6aj4wjS - showcase of the best animation websites
11. https://t.co/0HVARfCzo4 - curated landing pages
12. https://t.co/wl4RgkJCgh - mobile design patterns
13. https://t.co/qA4B0mmprH - experimental web design projects
14. https://t.co/75zV2ioDNu - navigation patterns
15. https://t.co/XPn2VgZBdJ - footer layouts
16. https://t.co/NDaj9DThhe - conversion-tested forms, popups and buttons
17. https://t.co/TXT88wdEv5 - curated hero sections
18. https://t.co/3BKI45pK93 - the best pricing page examples
19. https://t.co/p6pXo8hFRn - community component marketplace that plugs into agents via MCP
20. https://t.co/vUKwdPK1IN - still the gold standard
21. https://t.co/nxASYyVHLH - 200+ animated Rea
If you're building a dashboard, save these chart libraries 👇
> Visx — Airbnb's low-level viz components
https://t.co/NaDEERkp4c
> REAVIZ — D3 charts for React
https://t.co/sFVWkRaNvl
> Evil Charts — Animated shadcn + Recharts charts
https://t.co/sCj30UMqfw
> Bklit — Design-engineered charts
https://t.co/RGotu37R0H
> s…If you're building a dashboard, save these chart libraries 👇
> Visx — Airbnb's low-level viz components
https://t.co/NaDEERkp4c
> REAVIZ — D3 charts for React
https://t.co/sFVWkRaNvl
> Evil Charts — Animated shadcn + Recharts charts
https://t.co/sCj30UMqfw
> Bklit — Design-engineered charts
https://t.co/RGotu37R0H
> ssych ui — Complex software UI made readable
https://t.co/nR0N2C9OPR
> vizcn — SVG charts your agent picks by question
https://t.co/oIUprs8cWh
We curated 246+ chart and data visualization components into our collection of 12,000+ components on 21st
1. Pick a chart on 21st
2. Copy & paste its prompt into your AI agent (claude/codex/cursor)
3. See the chart in your dashboard
All charts + the full collection below ↓
Stop building flat AI websites. 🛑
Here is how to build a $5,000 scroll-animated interactive website without writing a single line of CSS manually.
Start at https://t.co/RlChWqggj8 👇
1. Copy the prompt
2. Paste it into Claude, Cursor or Lovable
3. Launch it live
Scroll this one and the camera dives in: earring, pend…Stop building flat AI websites. 🛑
Here is how to build a $5,000 scroll-animated interactive website without writing a single line of CSS manually.
Start at https://t.co/RlChWqggj8 👇
1. Copy the prompt
2. Paste it into Claude, Cursor or Lovable
3. Launch it live
Scroll this one and the camera dives in: earring, pendant, ring, each with its own product card sliding in. It ends on a giant wordmark footer.
Full source code included, so you're never guessing what to ask your AI.
Save this 🔖 you'll need it before your next client project.
Would you ship this for a client?
i can't comprehend why people run claude code on default settings
one settings change and every model gets its own job:
→ opus plans every task and advises when stuck
→ sonnet 5.5 writes the actual code
→ haiku handles every file search
→ a critic agent tries to break your diff before you merge
Opus thinks. The chea…i can't comprehend why people run claude code on default settings
one settings change and every model gets its own job:
→ opus plans every task and advises when stuck
→ sonnet 5.5 writes the actual code
→ haiku handles every file search
→ a critic agent tries to break your diff before you merge
Opus thinks. The cheap models grind.
paste this into claude code 👇
Add this to ~/.claude/settings.json. Keep every hook, permission and plugin I already have. Then create the two agent files below and show me the diff.
```json
{
"model": "opusplan",
"advisorModel": "opus",
"effortLevel": "medium",
"modelSettings": {
"claude-opus-5-5": { "effortLevel": "high" },
"claude-sonnet-5-5": { "effortLevel": "medium" }
},
"env": {
"CLAUDE_CODE_SUBAGENT_MODEL": "haiku"
}
}
```
~/.claude/agents/scout.md
```
---
name: scout
description: finds code fast. returns file paths and line numbers only.
model: haiku
tools: Read, Grep, Glob
---
Locate exactly what was asked. Return file:line. No fixes. No opinions.
```
~/.claude/agents/critic.md
```
---
name: critic
description: reviews a diff or plan before any task is called done
model: opus
tools: Read, Grep, Bash
---
Assume this is broken. Find how it fails. One line per issue, worst first.
```