Sabitlenmiş Tweet
Launching Crewline AI. Supervised autonomy for any construction vehicle.
English
Freddie Filz
162 posts
Freddie Filz
@fredfilz
Building autonomous construction vehicles | Prev. founder @ https://t.co/xe3ZvjXy8n ($30m+ revenue, fastest modular construction startup ever) | @uniofoxford cs grad
San Francisco Katılım Haziran 2012
545 Takip Edilen187 Takipçiler
I built a database with every Claude + LinkedIn prompt you'll ever need.
For free.
Most people treat prompts like recipes. Copy, paste, hope it works.
That's why 90% of AI-generated LinkedIn content sounds identical.
The difference between generic AI content and content that books calls isn't the tool. It's the prompt architecture behind it.
I've spent 6 months building, testing, and refining prompts specifically for LinkedIn growth in the AI/SaaS space.
This database includes prompts for:
→ Profile optimization (bio, banner, headline, featured section, skills)
→ Viral content generation (hooks, lead magnets, repurposing, sales call mining)
→ Outbound systems (DM sequences, Sales Nav targeting, reply handling)
→ Strategy and funnels (competitor analysis, ICP research, lead magnet campaigns)
These aren't generic ChatGPT prompts. They're built for one thing: turning LinkedIn into a revenue channel.
These prompts work because they're specific to the LinkedIn algorithm, B2B buyer psychology, and actual conversion mechanics.
Want the full prompt database?
1. Follow me
2. Comment "PROMPTS"
I'll send it directly.
English
Freddie Filz retweetledi
Every other industry doubled productivity in the last 50 years. Construction lost 30%. @fredfilz and Mohamed Sadek, founders of Crewline, are automating the machines. Great piece by @FastCompany on how.
We're excited to have led their $7.1M seed.
They're hiring builders: crewline.ai/join-us.
Fast Company@FastCompany
Construction is facing labor shortages and productivity stagnation. The startup Crewline wants to solve those problems with autonomous machinery. f-st.co/9N24XpW
English
Freddie Filz retweetledi
Construction is facing labor shortages and productivity stagnation. The startup Crewline wants to solve those problems with autonomous machinery. f-st.co/9N24XpW
English
I put my entire Claude Code setup for GTM engineering into ONE Notion doc
10 modules. No fluff.
- How to install Claude Code and run your first GTM session in under 10 minutes
- How to build a CLAUDE. md that acts as your project brain and never loses context
- How to install GTM skills that chain together and run autonomously
- How to connect your full stack via MCP servers without writing custom wrappers
- How to run parallel agents and subagents across GTM workflows simultaneously
- How to manage context and token usage across long research sessions
- How to choose between Sonnet, Opus, and Haiku based on the task
- How to hook Claude Code into external triggers so workflows run without you
- The exact GTM workflows to build first: signal detection, lead scoring, outreach sequencing
- Full slash command reference for every repeatable GTM task
This is the setup I would have KILLED for before spending months piecing it together from documentation, YouTube tutorials, and scattered GitHub threads.
Like + comment "BIBLE" and I'll send it over
(must be connected for priority access)
English
Freddie Filz retweetledi
Today @IsembardGroup announces our $50m Series A. More factories, more engineers, more countries. If not now, when...
🇬🇧🇺🇸🇩🇪🇫🇷🇺🇦
English
Another major milestone in @wayve_ai's history. Proud to say we’ve secured $1.5 billion Series D investment at $8.6 billion valuation.
We started a decade ago with a contrarian technical thesis: that self-driving is an AI problem, and Embodied AI will enable autonomy to scale without rules, HD-maps and using mass-produced hardware.
Now we're entering commercialisation, we're taking a contrarian commercial strategy too, selecting the business model with the largest opportunity to scale. We're not selling our own cars, which limits scale to one brand. We're not operating our own fleets, which limits autonomy to city-by-city expansion. We're licensing autonomy to any vehicle, anywhere.
This new business model is only possible now because we've built a general purpose AI driver, which is flexible to work with any vehicle architecture and proven to drive all around the world. This unlocks a high margin software licensing model, which we're now excited to be deploying with global partners with the strength of this new funding round.
Thank you to our new and returning financial investors for backing our vision all the way: @EclipseVentures, @balderton, @SoftBank, @OTPPinfo, @BaillieGifford, @BritishBBank, @IcehouseVenture and @Schroders among other global institutional investors.
We're deepening our partnerships with @Microsoft and @nvidia to build and deploy Embodied AI at global scale, and with @Uber, who are announcing supervised robotaxi trials in 10 cities around the world, starting with London this year.
To top it off, three top-10 global automakers across Europe, Japan and USA are backing and believing in our technology for consumer vehicles and robotaxis: @MercedesBenz, @Nissan and @Stellantis.
I’ve always believed that our end-to-end AI approach would lead the way in autonomy. This latest investment and the endorsement that comes with it make me believe that the industry is also now converging on that idea too.
What's next? We have a busy next few years of commercial delivery: supervised robotaxi trials around the world in 2026 and consumer vehicle sales from 2027. Thank you to the incredible Wayve team for making this all possible.
Check out all details here: wayve.ai/press/series-d/
English
@calder_white lol did the same 5 years after dropping out - total pain
English
Guess I have to stop telling people I'm a dropout now! Was a grind getting this one while running a company ~
English
@chrisbarber you forgot crewline.ai - autonomous construction vehicles
English
other interesting robotics & robotics adjacent startups
Armstrong Robotics (for commercial kitchens)
Pantograph (training data)
General Trajectory (model for dexterity)
Standard Bots (arms for factories)
Innate ($2k teachable robot)
Relling Systems (rl/data infra)
Spatial AI (data)
Bracket Bot ($1k robot for devs)
Vassar (open source kit)
Flywheel (autonomous excavators)
Lucky Robots (simulations for data)
plus lots mentioned in the replies here
- persona ai (industrial humanoids)
- LeRobot (models, datasets, envs from HF)
- rerun (infra for data)
- build ai (released a big open dataset)
- meta robotics studio
- datra ai (sim data)
- torque agi (foundation models for robotics cos)
- autofab (for part assembly)
- nervosys (simulations/platform)
- weave robotics (home robots)
- solo tech (fine tuning and inference)
- ai2 (molmoact)
- hylio (agricultural drones)
- cobot (industrial robots)
- reflex robotics (wheeled humanoid)
- keen agi (@adam_patni how much robotics stuff are they doing?)
- watney (robots for datacenters)
- world labs (Fei-Fei Li, for sim)
- rhoda (industrial humanoids)
- field ai (industrial foundation models)
- openai robotics (CK)
- saronic (autonomous naval vessels)
- anduril (defense)
- bedrock (for construction)
- radical ai (materials r&d)
- formic (case packing & pallets)
- imply+infer (robot computer)
- i10e (model architecture)
- labs: HRI (honda), MERL (mitsubishi), Bell Labs robotics
- maven robotics (manufacturing/logistics robots)
- edison scientific (scientific discovery)
- automata (lab automation)
from this list (excl the ones in the qt+replies), some that i'm particularly curious about are: armstrong, pantograph, general trajectory, standard bots, innate, rerun, build ai, autofab, weave, reflex, watney, rhoda, bedrock, implyinfer, i10e, and edison.
thanks to @RemiCadene @ethanmclark1 @nicolausradford @tdliu @tensorxxx @Pushkar11420566 @VicenteLizcano
@AnselDias @admercs @vickszhang @GetSoloTech @cole__ai @vaheta @Mike_Oda @BradPorter_ @camfassett @adam_patni @_advaitpatel @josephfkrause @kevinmpeterson1 @samanfarid @1andyaaron @AndrewHart @singhanukriti @nikhilvnamburi
Chris Barber@chrisbarber
robotics labs and startups list draft - which ones am i missing, and which categorizations are terrible and need updating? labs - pi (most people felt like this was the best team on the research side. also more of a general foundation model company, very ambitious.) - also tesla (but xai is making the models?) - gdm robotics - uma - nvidia robotics - intrinsic - rai institute, kind of - genesis ai - general intuition - generalist - dyna - skild ai for science incl lab automation - periodic labs - prometheus - lila sciences - futurehouse (tbd) - medra industrial - halcyon - boston dynamics (hyundai) - unitree - agibot - ubtech - amazon robotics - also tesla - also dyna - dynatronics - stealth - sanctuary - agility - covariant (acq) - humanoid - figure - apptronik robots for homes - 1x - also tesla - prosper - sunday - matic - bot company product - orchard robotics (farming) - path ai (manufacturing) - ironsite (construction) different axes to look at robotics labs - precustomer vs post customer - manufacturing vs home automation vs something else - specialist vs generalist - simulation training vs real world training - lab vs product focused thanks to friends who suggested companies and ways to improve organizations which am i missing, and which categorizations need updating
English
I could not find one that exists so I am making the robotics paper reading gc. Please comment or DM if you want to be added.
Jacob Rintamaki@jacobrintamaki
Does anybody know of any twitter gcs where people are regularly reading robotics papers? Would love to be added, and if that doesn't exist, then I'll make it tomorrow.
English
Most people in SF have no idea how hard non-VC businesses are.
Once you raise VC, you buy time:
- 2 years of runway
- Big margin for error
- Money goes into building, not delivering
- Office + laptop =/= existential risk
That’s a luxury.
In a traditional business, your ass is on the line day 1.
You need revenue immediately.
Every dollar goes into delivery first.
No one lends to you. Forget debt without a personal guarantee.
At MMY US we started with nothing in 2023.
No VC. No product.
We convinced a developer we could build homes faster than anyone else - before we had a factory.
Within 2 years:
- Built an 80,000 sqft housing factory
- Delivered hundreds of affordable homes
- Cut home construction timelines from 14 months → 4 months, fastest in the world
- $30M revenue
- 100 employees
- Customers included state + city governments
VC is hard.
Bootstrapped, asset-heavy execution businesses are harder.
Different games. Massive respect to operators who ship from day one.
English
The place to stay is @RocketRanchTX
They have a banging setup close to launch
As well as a raised viewing deck for the big show
It would be great to get a tribe together
I really want to see a landing 🥢
English
@fredfilz @jamiegull how's the funding raising going? I'm seeing so many robotics for construction getting funding nowadays. It's so interesting!
English
Stoked to get to finally announce Wave Function Ventures $15M Fund 1! Wave Function was created to partner with deep tech founders building hardware solutions to the world’s most important problems. I'm 9 investments in, with 15-20 left to go.
English
Ric is a beast - highly recommend
Richard Burton@Ricburton
If you are in the UK 🇬🇧 & you are under 25 👨🎓 & you have been thinking about visiting Silicon Valley 🛣️ I would love to help you make it happen I’ll go: ✈️ 50:50 on flights & accommodation for a month You just: Explore Silicon Valley & tell me what you see DM if keen
English
• Founding Hardware Engineer: crewline-ai.notion.site/hw-eng-112
• Founding Perception Engineer: crewline-ai.notion.site
English
Hiring hardware and perception engineers
> $200-300k cash, 1-3% equity
> In-person in Mission Bay, SF
Apply below 👇
English
Main reason I’ve chosen to prioritize deep tech over further crypto & games investments is that the world doesn’t need more casinos
Last week backed a company that could soon make deaf people hear again, blind people see again, and humans become super human. Last month a company that is eradicating disease before birth…
Aim higher
Where we collectively deploy capital today shapes the world we’ll wake up in 5 years from now
will o’brien@Willob
Venture funds that choose to back “slop startups” like this and other startups with questionable morals (Cluely, gambling apps, goonbots etc.) should know that mission-driven founders take note of this and seriously discount that firms reputation. There is something deeply nihilistic about slop startups. The founders and investors that back them are implicitly saying “Nothing really matters. We should just try to make money even if it means producing complete slop or encouraging sin.” This infuriates mission-driven founders and causes a profound sense of disgust that’s hard to get past when we consider who we want to work with.
English
Not all VC. I’m my own Anchor LP.
It’s easier to take contrarian bets when you’re not obliged to please the status quo.
By nature you’ll be a consensus investor if your mandate only allows you to buy what you are able to sell.
GREG ISENBERG@gregisenberg
I don’t know who needs to hear this, but 99% of the money VCs invest isn’t theirs. General partners usually commit 1–2% of a fund and the other 98-99% comes from pension funds, endowments, HNWs and institutions spread across ~30+ bets per fund. Their model works if 10% of those bets crush it and the rest are written off with a shrug. As a founder, you don’t get that luxury. You have one bet, one shot, one life tied to the outcome. I wish someone told me this, so maybe it's helpful to one person out there as their navigating their founder journey. I'm rooting for you.
English