GrowthMatrix

We focus on influencer marketing for tech and AI brands.

[GrowthMatrix @growthmatrixai]

Introducing GrowthMatrix

We made this film to show what happens after you hit post, and what changes when the right people start talking about your launch.

It's easy to ship a product, but much harder to get it heard. Every feed has its own voices, and buyers listen to the creators they already follow. When a launch only comes from your own account, it stalls at a few views, and a year of work gets lost in the scroll.

With GrowthMatrix, send one brief and launch through 500+ vetted creators on X, LinkedIn and Instagram

[GrowthMatrix @growthmatrixai]

Launching soon? Give us 30 minutes: https://t.co/tK5i4SH62x

[GrowthMatrix @growthmatrixai]

Introducing GrowthMatrix

We made this film to show what happens after you hit post, and what changes when the right people start talking about your launch.

It's easy to ship a product, but much harder to get it heard. Every feed has its own voices, and buyers listen to the creators they already follow. When a launch only comes from your own account, it stalls at a few views, and a year of work gets lost in the scroll.

With GrowthMatrix, send one brief and launch through 500+ vetted creators on X, LinkedIn and Instagram

[Rohan Nayak @RohanNayak2]

Introducing Sherpa: the most advanced fiction writing AI

We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year

Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data.

550K+ creators have produced 2.6M hours of content annualised using it

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

10% of eligible writers on Pocket FM make >$200K
One blockbuster produced >$100M in revenue
3 writers have become millionaires in <2 yrs

We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories:

1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it like a veteran editor on tension, stakes, and psychology
2. World & Characters: It builds out the complete lore, tone, and character psychologies
3. Sub-Plot planning: Breaks the premise into arcs, arcs into episodes, and episodes into scenes
4. Scene-by-Scene Generation: Outlines and drafts entire episodes, with you able to steer, rewrite, or override anytime
5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence before it locks
6. One-Tap Production: Pick a voice, convert to audio drama, and publish directly to Pocket FM’s millions of listeners
7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across international markets

Test Sherpa for free here: https://t.co/R39M5o0Miz
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Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function.

Sherpa solves this through three core technical leaps:

1. Narrative World Model (State Tracking & Retrieval): Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across hundreds of episodes

2. Hierarchical Story Planner: When writing a 500-episode story like Naruto, you need to plan 100s of sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene.

Rather than generating everything upfront, like a generic LLM, Sherpa uses progressive planning and dynamic replanning. As the story evolves, it identifies what changed, traces the downstream impact, and replans only the affected parts.

3. Prose Engine (Trained on series' retention data): LLMs write robotically, but serial fiction needs emotion, tension, pacing, and dialogue that sounds like real people.

Sherpa's Prose Engine was designed specifically for storytelling. It was built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked.

Feedback is taken from specialized evaluator models that measure every scene against a 40-item checklist. (Evaluator models were benchmarked against human reviewers and matched them 80–90% of the time.)
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Owning distribution and creation puts us in a very unique spot.
More shows -> More data -> Sherpa becomes better -> more creator success -> more creators -> more shows

Pocket FM has already seen one $100M IP. I believe Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows.

Most people are scared of AI but I think it'll unlock more human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.

[GrowthMatrix @growthmatrixai]

huge congrats @alexmashrabov

we’ve been watching higgsfield show up everywhere creative work already happens. photoshop. figma. premiere. claude. cursor.

now you’re the #1 creativity plugin on chatgpt.

that’s genuinely strong distribution. well done to the whole team.

[Alex 🧩 Scaling Video GenAI @alexmashrabov]

Higgsfield is now the #1 creativity plugin on ChatGPT 🚀

Over the past few months, we’ve been bringing Higgsfield into the tools creative teams use on a daily basis: Photoshop, Figma, Premiere Pro, After Effects, DaVinci Resolve, Blender, Claude, and Cursor.

Now, ChatGPT, with around 900 million weekly users.

A lot of creative work gets slowed down by switching between tools and moving assets. We want Higgsfield to be there wherever the work needs to get done.

Write briefs, generate ad videos, try different models - all of it in one chat.

Thank you for creating with Higgsfield.

[Bland @usebland]

What's the first call you'd make if your Grok Bot had its own phone number?

Use Bland to give your agent a dedicated number so it can:
→ Book a dinner reservation
→ Confirm sales appointments
→ Text your mechanic
→ Take the calls you can't

[Bland @usebland]

The Bland phone car went to Washington.

Bland is now the first FedRAMP 20x Class A certified voice AI company in the US, bringing secure, reliable AI phone infrastructure to federal agencies.

Complex, high-stakes calls, now available to the public sector.

Learn more here: https://t.co/VEJlBTL58y

[GrowthMatrix @growthmatrixai]

@tomas_hk Lets chat

[GrowthMatrix @growthmatrixai]

@typedotcom It worked

[GrowthMatrix @growthmatrixai]

@typedotcom Unable to DM

[Karan Goel @krandiash]

Our new TTS model Sonic-3.6 is now GA

We went into preview last week as the #1 model on AA and it's been great to see early users back this up

Overwhelmingly positive feedback, so much so that we graduated 3.6 to GA within a week

And yes, the next model is cooking 🧑‍🍳

[Cartesia @cartesia]

Sonic-3.6 is now generally available.

In January we made a bet: stop tuning the existing paradigm, rebuild from the architecture up.

How we topped our own best model in two months → https://t.co/lYA5Ym6hCX

[GrowthMatrix @growthmatrixai]

@rory_builds Just texted you

[OJO @OJOaidesign]

Today, we're introducing OJO: The first Design Agent Team Workspace.

Build your own design agent team, add specialized skills, and turn ideas into product strategy, PRDs, interactive prototypes, and launch-ready designs on one editable canvas.

Design is not just how it looks, it's how it works.

When everyone can build, taste makes your product stand out.
Now, your TASTE can be engineered.

#OJO #DesignwithOJO #DesignAgentTeam

[GrowthMatrix @growthmatrixai]

@notmiramurati Add one more here

Getting free data from agencies

[Matic Robots @maticrobots]

Introducing Cues: Voice & Gesture control for Matic

We raised $115M and spent 9 years to make the world’s first intuitive home robot

Say you spilled coffee: Point to the spill and say, "Hey Matic, clean this" and it will hear, see, locate in 3D, and go clean on its own.

Matic comes with a lot of features:

1. Say "Hey Matic" - it locates your voice, turns, and looks at you
2. Say "Hey Matic, follow me" and start walking. Matic will follow behind
3. Say "Hey Matic, go clean the living room". Since it knows your house map, it navigates and just does it

It's so easy, a 5 year old and an 80 year old can use it and it understands 75 different languages.

Matic has 8x the airflow, specialised cleaning algorithms for rugs, corners, toekicks, mopping, etc and cleans better than any other robot vacuum.
Also keeps improving with software updates.

13,000 families use and love Matic.
WIRED magazine gave it a 10/10 (the only hardware to receive this rating in a decade)

Buy yours at https://t.co/nLfY5pchxB and if you don't love it after 6 months, we'll give you a full refund.

To celebrate our launch, we're cleaning 300 homes with Matic in San Francisco and New York City.

Comment "Matic" below, we'll send you the link to sign up and come to your doorstep to clean your home with Matic.

[GrowthMatrix @growthmatrixai]

@SuggalaRohan @tavus Lets chat

[GrowthMatrix @growthmatrixai]

@rayruizhiliao @inkbox_ai Lets chat

[GrowthMatrix @growthmatrixai]

@EvanYadegari Lets chat