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The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Edition of Saturday, September 19, 2026

28 stories

Open-Source Laya-MLX Runs Fast Decision Models on Apple Silicon

Open-Source Laya-MLX Runs Fast Decision Models on Apple Silicon▶

A developer introduces laya-mlx, an open-source MLX port of the Laya typed decision model, claiming 7-14 ms decisions on an M3 Max and a demo playing Snake at 60 decisions per second. A GitHub repository is linked.

Original post · 1 min read
介绍比Jev快50倍,在你设备上跑的laya-mlx!

只在你的设备上占用最高1G内存

Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统

我将其移植到MLX,并且做了一些性能优化!

视频中就是这个模型在我的本地M3Max上玩贪吃蛇

这个模型能够以每秒决策60次的速度玩贪吃蛇!

github.com/mizorewww/laya-mlx
github.comGitHub - mizorewww/laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. - mizorewww/laya-mlx
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AI7/10

Aaron Levie Says Personal Agents Will Reshape Consumer Tech Like App Store

Aaron Levie argues that personal agents like Muse will make tools and sites compete for agent attention, forming the biggest consumer tech shift since the App Store. A quoted post claims Meta launched an agent app store built on connectors and is positioned to profit from user data.

Original post · 1 min read
Personal agents are the ultimate manifestation of “build something that agents want”.

The form factor of a product like Muse is you want to be able to hand off a task to the agent and ensure that it is fully completed end to end. To do this, the agent must be able to successfully operate with your tools or use its own to complete the task. Use your MCP or CLI, easily navigate your site, be able to transact, and more.

The new attention you need to compete for is not from the user itself but instead for the agent. This means that the tools that allow agents to order food, handle ecommerce transactions, book flights, work with the local economy, and interact with our data and information best, are the ones that will get used the most.

This will ultimately be the biggest opportunity and shakeup in consumer tech since the App Store itself.
Ejaaz @cryptopunk7213
zuck essentially launched a new app store for agents today and Meta’s perfectly placed to crush it, you’re looking at a multi-trillion dollar opp if they pull it off:

- instead of apps, agents get equipped with connectors i.e. plugins to any app, service or software tool.

- suddenly your agent goes from a useless chatbot to an action-oriented helper that gets shit done for you

but it gets even better - meta has collected ALL the data about you. they know what you want, when you want it which means they know exactly WHICH connectors to list in a marketplace and HOW MUCH to charge because the…
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AI7/10

Chamath Palihapitiya's Team Publishes Deep Dive on Open vs. Closed AI

Chamath Palihapitiya praises a deep dive from his team on the open versus closed AI race. The quoted report says open-weight models have come within roughly four months of the best publicly evaluated closed frontier models.

Original post · 1 min read
This is one of the better deep dives my team has written.
Chamath Palihapitiya @chamath
Deep Dive: The Open vs. Closed AI Race — Open-weight models have come within roughly four months of the best publicly evaluated closed frontier models, and the gap between them has only gotten more volatile.
That is turning the open vs.
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Houthi Drones Strike Riyadh Airport Fuel Tanks, Reports Say

A post cites Reuters reporting that Houthi drones hit jet fuel tanks at King Khalid International Airport in Riyadh, with a critical commentary on Saudi military capability and leadership.

Original post · 1 min read
For people wondering why the Saudi “military” is so pathetic and embarrassing, Saudi arabia intentionally keeps its army dogshit because it’s deathly scared of a coup. Important positions are all held by royal family members/loyalists, who are almost all incompetent and careless
The Hormuz Letter @HormuzLetter
BREAKING: For the first time in four years, Yemen's Houthis have struck Saudi Arabia's King Khalid International Airport in Riyadh with drones, hitting the main jet fuel tanks, with flames and a massive plume of black smoke over the airport, per Reuters.

Saudi Arabia lost its most advanced fighter jet to the Houthis on Wednesday, flew no strikes as Mocha fell, and bombed its own allies on the Bab el-Mandeb coast Monday.
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Pocket FM Ad Library Shared as Growth Playbook for Ecommerce

Pocket FM 4★+5★ Longest-Running (English) — GetHookd

Alex Fedotoff shares a board of 199 storytelling drama ads from Pocket FM, encouraging readers to model them for ecommerce products. The post quotes Rohan Nayak's claim that Pocket FM grew to $500M ARR while EBITDA profitable and outlines its growth tactics.

Original post · 1 min read
INSANE fucking growth. Storytelling Drama ads is the main format. Here’s 199 of these bangers from Pocket FM. Model and adapt for your Ecom products mfers.

Straight from gethookd: app.gethookd.ai/share/board/356560?signature=2…
Rohan Nayak @RohanNayak2
We grew from ~0 to $500M ARR, adding $250M last year alone while being EBITDA profitable.

1,300-word post on every growth tactic that worked for us:

1. What got us from 0-$400M ARR in the US works in every country.
2. Retention and Monetisation Hacks.
3. Localization > Translation.
4. Experiment with $1M internal seed checks.
5. Pivoting to only AI content production unlocked 100% ARR growth.

Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios.

1. Acquisition Playbook for 0-$10M ARR in any country in 6 months

We run a 90 sec video trailer of an audio d…
app.gethookd.aiPocket FM 4★+5★ Longest-Running (English) — GetHookd199 ads saved to this board on GetHookd.
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Hiten Shah Argues Agent Verification Will Dominate the Agent Stack

Hiten Shah comments on the engineering effort behind Devin's Cloud Mac, which Cognition's Jake Kelley describes as rebuilt in Rust, and argues that verifying an agent's work will consume much of the stack. The quoted post covers disk, networking, provisioning, VNC and computer use.

Original post · 1 min read
This is a wild amount of engineering to solve what is becoming a very important problem.

How does the agent know the work actually worked?

I suspect verification ends up eating a lot more of the agent stack than people expect.
Jon Kelley @jkelleyrtp
Several months of work went into building Devin's Cloud Mac!

We had to rebuild its disk, networking, provisioning, VNC, and computer use from scratch, in Rust.

Read my first X article about how it all works 😊
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AI6/10

Chamath Palihapitiya Predicts Top Three AI Models Will Be Open Source

Chamath Palihapitiya predicts that within 12 months the top three models will be open source, with American cloud providers such as Nebius, Iren, Baseten, Together and Fireworks capturing the economic gains. He quotes Guillermo Rauch reporting that open models held 78.4% of token volume on Vercel AI Gateway.

Original post · 1 min read
Prediction: within 12 months, top three models will be open source.

Economic winners will be the American clouds that serve them:

Nebius
Iren
Baseten
Together
Fireworks
Guillermo Rauch @rauchg
Looks like today may be a record day for token volume % of open models on Vercel AI Gateway:

🟦 Open 78.4% 🟨 Closed 21.6%

While spend 💲 usually tells a different story, #3 and #4 today are Moonshot AI & DeepSeek. Adding Z⁠.ai, their combined spend surpasses OpenAI (#2).

(Do note that's the spend for inference of the model across providers (mostly in the US), not revenue going directly to the open weight labs.)
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Sunil Pai Essay Examines the Senior Engineer Death Spiral

Sunil Pai shares that his blog post on the senior engineer death spiral is drawing heavy engagement and DMs. He says it describes a counterintuitive but effective solution and hopes managers will use it to support their reports.

Original post · 1 min read
It’s been 2 hours and I can already tell this is going to be my most popular post. See the replies. And I’m getting so many DMs from people who went through the same, I’m glad it’s connecting. 2 quick things -
- please consider the solution!! it’s counterintuitive and no one considers it but it’s super effective
- I hope managers see this too and use it as a tool to help their reports
sunil pai @threepointone
new post: the senior engineer death spiral

sunilpai.dev/posts/the-senior-engineer-death-s…

a friend just started a big job and asked for some advice. so I braindumped a monologue about a super common failure mode I see with engineers and posted it here, hope it helps whoever it can.
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AI6/10

Nailthy Tang Demos Jev Model for Real-Time Virtual Outfit Changes

Nailthy Tang Demos Jev Model for Real-Time Virtual Outfit Changes▶

Nailthy Tang showcases an experiment built for Drape with Typesafe, where the Jev model reads a conversation and the user's outfit to pick clothes from a closet and change outfits in real time at about $0.0011 and 620 milliseconds per decision. The post links to Jev's announcement, which claims faster and cheaper performance than frontier models.

Original post · 1 min read
jev is insane 🫣

it makes realtime virtual try-on hauls possible.
built this experiment for Drape with @typesafeai

> i talk
> jev reads transcript + what i'm wearing
> picks from my closet
> changes my outfit in realtime

cost: $0.0011 per decision
time: ~620ms per decision

imagine getting ready like this:
Diogo Almeida @CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution
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TypeSafe Releases Open-Source Skill Pack for Codex and Cursor

GitHub - typesafe-ai/skills: Agent skills for building with TypeSafe's System One API

The typesafe-ai/skills GitHub repository provides agent skills that let Codex or Cursor build typed decide, tool, and evaluate loops against the TypeSafe System One API. It has about 440 stars.

Original post · 1 min read
typesafe-ai/skills is a skill pack for TypeSafe System One. Drop it into Codex or Cursor so agents get typed decide, tool, and evaluate loops. 440 stars.

github.com/typesafe-ai/skills
github.comGitHub - typesafe-ai/skills: Agent skills for building with TypeSafe's System One APIAgent skills for building with TypeSafe's System One API - typesafe-ai/skills
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Stanford Paper Examines Migration's Effect on Europe's Public Finances

Patrick Collison shares a Stanford SIEPR working paper by Usama Polani on how migration and household employment affect Europe's public finances.

Original post · 1 min read
Based on this excellent paper from @Usama_Polani: siepr.stanford.edu/publications/working-paper/….
siepr.stanford.eduMigration, Household Employment & Europe’s Public FinancesOther
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AI6/10

Open-Source Model Laya Reportedly Beats OpenAI Co-Founder's Jev

Jun Song argues that an open-source model, Laya, outperformed Jev, a model an OpenAI co-founder spent three years building, within three days. A linked Hugging Face post supports the claim.

Original post · 1 min read
An OpenAI co-founder spent 3 years quietly building Jev, only for someone to open source a better performing model in just 3 days.

​This is exactly why starting an AI company right now carries way too much risk.
CV.YH @0xCVYH
Laya é um open source do Jev que já veio acima dele.

tá cada vez mais rápido

huggingface.co/convaiinnovations/laya
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FT Analysis Finds Low Pay Raises Fiscal Cost of Immigration in UK

Unpacking the real fiscal costs of immigration

Patrick Collison recommends a Financial Times piece by John Burn-Murdoch arguing that low taxes on low earners make immigrants costlier to the UK than elsewhere.

Original post · 1 min read
Very good piece, as usual, from @jburnmurdoch: ft.com/content/124c1cf0-4885-495c-a907-a5217d5…
ft.comUnpacking the real fiscal costs of immigrationLow taxes on low earners mean the same immigrants cost the UK more than they would elsewhere
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Ashlee Vance Praises Emergent Ventures' Impact in India

Ashlee Vance says it is hard to describe the effect Emergent Ventures is having on India, quoting Tyler Cowen's announcement of the 19th India cohort. The post links to a Marginal Revolution update.

Original post · 1 min read
It's hard to put into words the effect Emergent Ventures is having on India
tylercowen @tylercowen
Emergent Ventures India, 19th cohort: marginalrevolution.com/marginalrevolution/2026…
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Jev Claims to Replace Focus Groups by Scoring Ads Automatically

Jev Claims to Replace Focus Groups by Scoring Ads Automatically▶

Matthew Berman says the Jev tool scrolled 723 ads and scored them as 30 buyer personas at a cost of 22 cents, with availability planned through StealAds and MCP. A quoted post describes Jev breaking down 724 live ads from 37 brands in 40 seconds.

Original post · 1 min read
jev KILLED the focus group.

it scrolled 723 ads as 30 buyer personalities

21,690 stop or scroll decisions. 22 cents.
(will be avail in @StealAds + mcp)
Matthew Berman @TheMattBerman
jev is INSANE.

in 40 seconds it broke down 724 live ads from 37 brands.

every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens.
(will be avail in @stealads + mcp)
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Dmitry Korzhov Outlines Jev Workflows for Marketers at Low Cost

Dmitry Korzhov Outlines Jev Workflows for Marketers at Low Cost▶

Dmitry Korzhov lists seven marketing workflows Jev can accelerate, including ad library scans, creative scoring, search term sorting, fatigue detection and lead scoring. He says it runs through the Ryze AI app and an MCP connector for under $3, and quotes Ira Bukht claiming SEO/GEO audit costs dropped 90%.

Original post · 1 min read
Jevmaxxing for marketers

Jev can speed up most marketing workflows 30x and do it for < $3:

1/ Scan the whole Meta Ad Library
-> It reads every live ad in your category and tags each one by hook, format, offer and days running

2/ Find the ad patterns that survive
-> It compares formats by how many ads are still live after 60 days, so you know what lasts before you test it

3/ Score briefs before you shoot
-> Your LLM writes the briefs, Jev scores each on hook, brand fit and survival odds, and only the top ones get made

4/ Sort search terms
-> It asks "is this query from a buyer?" across the full Google Ads report, so negatives land the same night

5/ Catch fatigue early
-> For every ad with frequency up and CTR down, it picks replace, refresh or leave

6/ Check ad to landing page match
-> It scores whether the page delivers what the ad promised, the cheapest CVR fix in most accounts

7/ Score every lead
-> It rates each form fill 0 to 100 against your ideal customer within seconds, so Google and Meta learn to find more of the good ones

Available in the Ryze AI app and MCP/Claude Connector, link in the 1st comment 👇
Ira Bodnar @irabukht
Jev dropped the price of SEO/GEO fixes by 90%

Agents that audit and fix a client's SEO/GEO used to cost us ~$250

Here's where the savings come from:

1/ 30x faster reads of Search Console and PostHog/Mixpanel data

2/ 30x faster checks of what ChatGPT searches on Bing

3/ 30x faster modeling of what users ask Gemini and Claude

4/ 30x faster scans of who ChatGPT and Claude cite

5/ 30x faster analysis of the sources behind those citations

6/ 30x faster gap analysis: why they get cited and we don't

7/ 30x faster fixes across 1,000s of pages on large client sites

8/ 30x faster sorting of wh…
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AI Search Points to Nimble as Open Alternative to Jev

AI Search Points to Nimble as Open Alternative to Jev

AI Search says Jev is closed and available only via API, and offers Nimble, a GitHub project from Bespoke Labs, as an open version that performs comparably. The post links to the Nimble repository.

Original post · 1 min read
Jev is not open-source and only available via API.

Here's an open version called Nimble which performs just as well.

github.com/bespokelabsai/nimble
github.comGitHub - bespokelabsai/nimble: Local typed decisions, contrastive data curation, and model evaluation.Local typed decisions, contrastive data curation, and model evaluation. - bespokelabsai/nimble
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AI5/10

Justine Moore Tests Jev Against GPT-5.6 on Book Taste Prediction

Justine Moore Tests Jev Against GPT-5.6 on Book Taste Prediction▶

Justine Moore reports testing Jev against GPT-5.6 to predict which of 100 held-out Goodreads books she would rate five stars, using 1,000 prior ratings. She says Jev was slightly more accurate, 53 times cheaper and 25 times faster.

Original post · 1 min read
Tested Jev vs GPT-5.6 for predicting my taste in books.

I used my 1,000 Goodreads ratings as starting data and held out 100 to test. Then I asked both models to guess which would be 5 stars.

Jev was slightly more accurate, 53x cheaper, and 25x faster 🤯
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Options Trader Explains Cash-Secured Put Trade on Meta Stock

Options Trader Explains Cash-Secured Put Trade on Meta Stock

Jason Luongo describes receiving about $3,930 in premium for selling a put on Meta at a $500 strike expiring January 2028, outlining the upside and the downside if assigned.

Original post · 1 min read
This is crazy.

Someone would pay me roughly $3,930 upfront to agree to buy 100 shares of $META at $500.

One put. Expiring January 21, 2028.

If the put expires worthless, I'd keep the full $3,930.

If I get assigned, I'd buy 100 shares at $500 and still keep the premium. That's a $50,000 purchase, with an effective cost of $460.70 per share after the premium.

My existing portfolio could support the margin requirement, allowing my shares to stay invested instead of setting aside the full $50,000 in cash.

That's how a portfolio-secured put would work.

But agreeing to buy at $500 means paying $500 even if the stock falls much further.

If the stock's price is $400 at expiration, I'd be down $6,070 after the premium.

I'd be collecting $3,930 for taking on that buying commitment.
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classifier.dev Offers Free Zero-Shot Text Classification Over HTTP

classifier.dev Offers Free Zero-Shot Text Classification Over HTTP

Michael announces classifier.dev as a free service that claims to outperform Jev, offering zero-shot text classification over plain HTTP with no API key or account.

Original post · 1 min read
classifier.dev now outperforms jev and is free

go nuts guys
classifier.devclassifier.devZero-shot text classification over plain HTTP. No API key, no account.
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Coimbatore Emerges as India's Leading Senior-Living Hub

Coimbatore Emerges as India's Leading Senior-Living Hub

Karthik shares a claim that Coimbatore has about 5,500 organised senior-living units, more than any other Indian city, and notes Bangalore was once called a pensioner's paradise.

Original post · 1 min read
"India’s senior-living capital isn’t Delhi, Mumbai or Bengaluru. It’s Coimbatore. Coimbatore has around 5,500 organised senior-living units, more than any other Indian city." (In context, I remember Bangalore being called 'Pensioner's Paradise' once upon a time).
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Fastlane Launches Jev Tool to Automate Product Marketing Content

Fastlane Launches Jev Tool to Automate Product Marketing Content▶

Fastlane promotes Jev for Marketing, a tool that generates unlimited social media accounts and videos from a website URL to promote a product. The post is a short product pitch with a video.

Original post · 1 min read
Meet Jev for Marketing.

Just enter your website URL, then Fastlane creates unlimited social media accounts and viral videos all promoting your product in seconds.

This is actually insane.
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Codila Presents Jev and GrokBot Agent Setup Guide With Typesafe

Codila Presents Jev and GrokBot Agent Setup Guide With Typesafe▶

Codila describes a seven-step setup connecting the Jev decision layer with GrokBot on a local computer via a Typesafe API key and a usage router skill. The post promotes a GitHub repo and deep-dive article, and quotes a claim that Jev is the 'Internet moment' for AI agents.

Original post · 1 min read
Jev + GrokBot is the best AI agent system I’ve built in my life

It just made my setup CHEAPER and FASTER than what 95% of people are running...

setup takes literally 7 minutes:

prompt → GrokBot → Jev decision → GrokBot execution → result

step 1 → open @typesafeai , create API key (keep it off chat paste)

step 2 → tell Grok Bot: store TYPESAFE_API_KEY in the secure field

step 3 → prompt Grok Bot: install typesafe-sdk on Agent Computer + smoke system_one (Choice)

step 4 → tell Grok Bot: build the usage lab (router, dry-run, config, logs) - or clone Github below

step 5 → add skill jev-usage-router: before browser / research / retry / extra bot → call the router, honor action

step 6 → stay shadow first, read logs, then active when you trust it - kill switch: bypass jev or enabled: false

step 7 → flip active: GrokBot obeys route - Jev decides - GrokBot executes - humans control irreversible actions

the result: Jev + GrokBot the best and fastest agent running directly on your computer rn, I’ve already tested it on routine tasks - and the results are genuinely incredible

You can come up with endless ways to use Jev + GrokBot - but the most important thing is to install it as soon as possible

Copy this 2028 setup, explore my repo below - then read the full Jev deep dive ↓
codila @0xCodila
Jev is the "Internet" moment for the AI industry

It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost

If you set it up correctly, you will have the AI engineer’s stack for 2028

In this article, I show you how
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Trader Promotes Selling S&P 500 Puts, Urges Retail to Follow

Trader Promotes Selling S&P 500 Puts, Urges Retail to Follow

Trading Warz claims selling S&P 500 puts changed his life, describing 186 trades and 1,500 contracts that expired worthless, and promotes a live Spaces session. The post makes unverified profit claims and reads as promotional.

Original post · 1 min read
PUT OPTIONS on the SP500 changed my life!

I did IT TEAM - I sold puts 186 times over 1500 contracts in 18 months all expiring WORTHLESS

The dark secret in the market is they want RETAIL to chase 0 dte and OTM where the big boys are selling it! PUTS are DESIGNED to go to 0 I documented the full challenge!

I will be LIVE on X SPACES tomorrow to teach you step by step STOP GAMBLING and Follow the INSTITUTIONS
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Actress Neha Sharma Reports Monthly Income From Paid Content

Actress Neha Sharma Reports Monthly Income From Paid Content

Neend Ki Rani says actress Neha Sharma earns Rs 200,000 monthly by charging subscribers Rs 290 each, citing around 6,826 people. The post is a celebrity earnings claim with little sourcing.

Original post · 1 min read
This is Neha Sharma who now earns Rs 200,0000 every month without working in any film.

Neha is an actress who has 19M followers but still has to show it.

Neha is charging ₹290 from 6,826 people and showing them… Read News
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Jason Calacanis Promotes All-In Summit Talk by Bill Gurley

A post urges viewers to watch the All-In Summit presentation by Bill Gurley, titled "Searching for Feynman," with a joking reference to COVID.

Original post · 1 min read
If you're still upset about COVID, this is important for you to watch.

If you're not upset about COVID, this is critically important for you to watch.
The All-In Podcast @theallinpod
All-In Summit: Bill Gurley

(0:00) Bill Gurley takes the stage at the All-In Summit

(1:29) Bill's Presentation: Searching for Feynman

Links to additional resources mentioned in talk and used in research:
p3.institute/searching_for_feynman_resource_li…

@bgurley
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Patrick O'Shaughnessy Praises Bill Gurley's All-In Summit Talk

Patrick O'Shaughnessy says Bill Gurley's All-In Summit talk held his attention and shares the link to the "Searching for Feynman" presentation.

Original post · 1 min read
Great talk by @bgurley

He really had me locked in wondering where it was going
The All-In Podcast @theallinpod
All-In Summit: Bill Gurley

(0:00) Bill Gurley takes the stage at the All-In Summit

(1:29) Bill's Presentation: Searching for Feynman

Links to additional resources mentioned in talk and used in research:
p3.institute/searching_for_feynman_resource_li…

@bgurley
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Pamba Offers AI Tool to Create and Warm Dozens of TikTok Accounts

Pamba | The AI creator engine behind 500M+ views

Karol Zdebel promotes Pamba, a service that creates TikTok and Instagram accounts on iPhones with US SIMs and warms them via an MCP server, claiming more than 500 million views generated. The post states that a 50-account setup takes about five minutes and that no accounts have been banned.

Original post · 1 min read
You can create 50 new TikTok & Instagram accounts literally in the next hour with this.

Takes 5 minutes to set up.

1) Sign up on pamba.app and select the free plan
2) Go to the Accounts tab
3) Click "Buy Accounts" and select how many you want
4) Enter your usernames
5) Wait ~30 minutes for the accounts to be created
6) Set up your account warming configuration
7) Start posting your own videos

Not a single person has been banned or bot detected on our platform with over 500M views generated.

Traffic is 95%+ US because all the iPhones are actually in the US and are using US carrier SIM cards, with real phone numbers.

If you need more info please DM me!
Karol Zdebel @karolzdeb
I spent $30k on iPhones so that your agents can finally rent them out for going viral on TikTok & Instagram.

No joke, you can turn your Claude/Codex/GrokBot into Mr Beast with this; we've generated over 500M views with this setup.

Here are 5 things you can tell your agents to do today using this MCP server:

1) Create a bunch of TikTok & Instagram accounts (with real US phone numbers & emails)

2) Warm accounts exactly how you like for your niche

3) Capture video ideas from the FYP to understand what's going viral for your competitors

4) Post videos to all of your accounts at once

5) Moni…
pamba.appPamba | The AI creator engine behind 500M+ viewsEnter your website and Pamba turns AI creators into an always-on growth channel for your startup.
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