
Co-Founder & COO @Enapi_gmbh, prev. VC @ProjectAcom
Joined July 2009
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I grew up in Swabia, and oh boy, Swabians love free things; they are also suspicious of anything that sounds too good to be true.
I wrote about a question we get a lot:
“OCPI connectivity is free. What’s the catch?”
Read about it her and why EV roaming is having its “Skype moment”.
blog.enapi.com/why-we-dont-c…
today's episode of things that never happened
so tired of euro-bashing-for-engagement-farming
Based interpretation of "AGI" and I think this is net positive for the general public
The benefits of labs solving actual, hard problems of humanity outweighs me not being able to run AGI on my laptop....
I am turning MAX BULLISH right now. Just like a river boat gambler holding his last chips I’m looking at the landscape and thinking fuck man we are in the fast take off stage right now.
I want to put it all max levered long on the high beta names and walk off into the orange glow of the sun. My bullishness has absolutely nothing to do with the math problems that are being solved most of them don’t matter that much.
But it’s more the realization that every AI lab just had. They all woke up and said wait a minute what are we doing selling $200 a month subscriptions to idiots who are making slop apps and nonsense substack articles when we can just subsidize a few super geniuses by giving them real compute to work on an important problem.
No one really cares about navier stokes besides some CFD simulation cycles. But what if we put these compute resources on real valuable problems? That opens up a whole new world. The bull case for AI has always been to me discovering new drugs or even verifying they work/don’t work reliably… I was thinking way way wayyyy too small.
There are hundreds of problems in engineering that if you got the experts in the room with real compute and even if they made a marginal improvement it would be worth hundreds of billions to the economy. Imagine we can build a steep slope device at 0.3V that’s worth like several generations of lithography nodes, or we can design a sub 100 femtojoul/bit optical IO and cut datacenter power by 40%, or even something as simple as more energy efficient molecular separation to replace distillation which is like 15% of all industrial energy use.
This is the real shit guys. The labs are realizing quickly this is the REAL frontier this is the final land grab. Open source can never compete here because they don’t have the capital and resources this plays right into the labs hands. They can’t give everyone a 10,000 agent swarm but they definitely can give it to Exxon mobile and charge them $50M dollars for it if it means they find more oil or Dow Chemical to create a new kind of super glue or to Moderna to computationally create different mRNA therapies… the list goes on and on.
A big reason why I never cared much for AI is despite all the normies going googoo Gaga over it is that literally they don’t have any clue what to do with it. Like if you were mediocre before AI you are mediocre after it, nothing changed u just got more skills that you don’t know how to use and you have no imagination or intuition. It’s the same reason why education is a waste on the majority of the population because let’s be real most of you aren’t going to be deriving differential equations or using epistemological concepts on your day job.
But you give this kinda compute and unfettered AI in the hands of people who are world class. They will cook. It’s the reason why Deepmind has a Nobel prize and no other lab does because deepmind actually hired or worked with the top biochemists and biophysicists to develop alphafold.
AI alone isn’t going to discover anything. Don’t fool yourself and grow up already if you still think AI is going to just figure out large scale nuclear fusion on its own then you are simply lost in the sauce at this point and are beyond saving. The pragmatic answer has always been use the AI to automate the busy work and keep the human experts for the actually thoughtfulness and intuition.
I think the AI labs will wake up now and realize selling coding tokens and image models to normies to make Disney characters isn’t the best business in the long run. Actually using the compute for real serious innovation is and it’s really easy to monetize this upfront.
I expect AI labs to stop looking like API companies and start looking like real research labs now. Thank god.
Leo Lerach retweeted
Eine Technologie ist in 30 Jahren 99 % billiger geworden. Nicht Computerchips – Batterien. Das verändert gerade die Welt.
Im Jahr 1995: 5000 Dollar pro Kilowattstunde.
Heute: unter 50 Dollar.
Und der Preis fällt immer weiter.
Wenn die meisten Menschen „Batterie“ hören, denken sie an Knopfzellen in der Armbanduhr oder AA-Batterien im Spielzeug. Heute aber treiben Batterien Autos an, die 500 Kilometer weit fahren. Sie speichern den Strom ganzer Städte. Sie versorgen Fabriken über Nacht.
Das hat mit den Spielzeugbatterien so viel zu tun wie Tischkicker mit einem WM-Finale.
Warum ist das so wichtig? Weil Energie die Grundlage von allem ist, was wir tun (das hat die ganze Welt ja gerade wieder zu spüren bekommen, dank Donald Trump). Eine sehr billige Technologie, Energie zu speichern, verändert nicht irgendein Detail – sie verändert das ganze Spiel.
Der Preisverfall folgt dabei einem Muster, das Ökonomen Wright’s Law nennen. Bei Batterien hält es seit über 30 Jahren, egal ob Krise, egal welche Chemien und Architekturen die Ingenieure einsetzen.
Wir alle kennen diesen Preisverfall von Computerchips. Das ist der gleiche Mechanismus – nur verändert er diesmal nicht, wie gut du Bilder auf deinem Smartphone bearbeiten kannst, sondern unser ganzes Energiesystem.
Mal konkret: Ein Netzspeicher sind Hunderte Schiffscontainer voller Batteriezellen, aufgestellt auf einer Fläche so groß wie ein paar Fußballfelder, angeschlossen ans Stromnetz. Mittags, wenn die Sonne mehr Strom liefert als gebraucht wird, laden sie sich auf. Abends, wenn alle kochen und Netflix schauen, geben sie ihn wieder ab.
Das ist auch keine Theorie mehr. Das passiert schon längst.
In Kalifornien lieferten solche Speicher Ende März 2026 einen Rekord von 12,3 Gigawatt – 43 Prozent der gesamten Stromnachfrage am Abend. So viel wie sechs Hoover Dams. In Texas deckten Batterien im Sommer 2025 über 10 Prozent der Spitzennachfrage – und zum ersten Mal seit Jahren musste der Netzbetreiber die Menschen nicht anflehen Strom zu sparen, um das Netz zu sichern.
In der Lausitz baut LEAG den größten Batteriespeicher Europas – 1 Gigawatt, auf einem ehemaligen Braunkohle-Standort. Wo früher Kohle verstromt wurde, stabilisieren bald Batterien das Netz.
Und auf Firmenebene? Ein deutsches Aluminiumwerk hat mit Batteriespeichern seine Stromrechnung drastisch gesenkt – indem es den Verbrauch in den teuersten Stunden des Tages kappt. Ersparnis: 4,4 Millionen Euro pro Jahr, amortisiert nach etwas über einem Jahr. BMW Leipzig betreibt seine Montagelinien nachts netzunabhängig, mit Solar und Speicher vom eigenen Gelände.
Nicht weil die Politik es vorschreibt, sondern weil sich die Ökonomie gedreht hat.
Die Batterie-Revolution hat längst begonnen. Erzähl deinen Kollegen davon.
Replying to @JaredSleeper
You seem to be trying to use logic here. Let me explain what is going on
Anthropic makes AI progress -> SaaS goes down 5%
You're welcome
LFG Europe
BREAKING: President of the European Commission, Ursula von der Leyen introduces EU Inc.
President of the @EU_Commission says: "With EU Inc. we are making it drastically easier to start and grow a business all across Europe"
The @euinc_petition is designed to create a new EU-wide corporate entity, like a Delaware LCC in the United States, giving firms full access to the EU single market and avoiding the patchwork of 27 national corporate laws.
European Commissioner Michael McGrath says: "We need to incentivise companies to stay in Europe and encourage those who once looked elsewhere to return"
The movement was Co-Founded by @andreasklinger and spearheaded by a number of European technology advocates including @MarvinTBaumann.
Business idea: rebuild Slack but with a 20% default tip
Inside @google, we have a system for sending small bonuses to peers that helped us out. It's used often, and builds a culture of gratitude.
We added an AI tool that scans your chats, emails, whatever and generates a report that shows who helped you the most lately. So handy.
Das Problem ist fehlendes Können, nicht Wollen
Pathetic framing from the leader of a government that spends a 500bn off budget fund on stabilizing pensions and consumption
German Chancellor Merz:
We are simply no longer productive enough. Each individual may say, “I already do quite a lot.” And that may be true.
But when you return from China, ladies and gentlemen, you see things more clearly.
With work-life balance and a four-day week, long-term prosperity in our country cannot be maintained. We will simply have to do a bit more.
More market turbulence ahead
We’re about to witness three of the largest IPOs in history. SpaceX is targeting $1.5t. OpenAI aims for $1t. Anthropic is valued at $380b. Combined, $2.9t in market cap.
The scale is unprecedented. But the real problem isn’t the market cap. It’s the float.
Typical IPOs offer 15-25% of their shares to public markets. This creates enough liquidity for price discovery while allowing founders & early investors to maintain control. Facebook floated 15%. Google floated 19%. Alibaba floated 15%.
At a 15% float, here’s what these three IPOs would require :
"What follows is a scenario, not a prediction. This isn’t bear porn or AI doomer fan-fiction. The sole intent of this piece is modeling a scenario that’s been relatively underexplored.“
Proceeds to …checks notes… write bear porn and AI doomer fan-fiction.
JUNE 2028.
The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation.
What happened?
citriniresearch.com/p/2028gi…
Based
As a YC founder I've now watched 2 close friends build multi-billion dollar companies.
Here's a few things that surprised me:
1/ it can be anyone
There's nothing special about these guys. They're smart, committed, and work hard. But they're not geniuses. They just figured it out as they went.
There's often a perception that unicorn founders are special cases or natural geniuses.
In reality, they struck on something and held on for dear life as it started to get it's own legs.
2/ growth creates spend, not the other way around
When you compare a unicorn to a slower growing company you realize something interesting.
A slower growing company is spending to increase growth while a fast growing company is spending to support it.
Meaning that unicorn companies often have more demand than they can deal with. Their product clicked and demand spiked - they're spending to keep up, holding on for dear life.
The mistake founders make is thinking that headcount and spend is creating that growth. It's not. It's supporting the demand that already exists.
3/ momentum is everything
The most fascinating thing watching these two work is how they utilized momentum.
Every day, every week, every month, every quarter, every year. They'd take the momentum of the last and use it to fuel the next.
Whether that's press, investors, feature builds, or anything in between. It felt like every move they made compounded into next one.
They got initial momentum and continued to fuel it until they hit the finish line.
4/ build your own path
Frankly - when I first saw their products - I thought they were stupid. In fact, they were stupid and looked nothing like the current versions.
It doesn't matter what someone like me thinks.
Build your own path, make your own product, and find your way - just like they did.
BEV adoption trajectory in Germany seems to finally have stabilized. It's BEV from here on out.
🇩🇪 Germany - December 25 - BEV Trajectory
22.2% BEV
12.3% PHEV
65.5% ICE (of which 29.0%p were HEV)
Trailing 12 months are:
19.1% BEV
10.9% PHEV
70.0% ICE (of which 28.6%p were HEV)
Graphs are available in the Gallery: leraffl.github.io/LeRaffl-Ga…
Leo Lerach retweeted
"shock jockey capitalism"
it has been only 76 days since a respectable venture capitalist went on 20VC to declare that the old standard, going from $1M to $3M to $9M, was no longer "interesting" to him.
$100M ARR in six months. no, actually, give me $100M EBITDA in two. a one-person company worth a trillion dollars in days. my AI rollup contains within it 40% of the GDP of uzbekistan.
how is it possible that venture capital went from the somewhat less diligent and more exuberant little brother of software private equity to these disgusting excesses so quickly? what exactly is happening that has forced previously respectable individuals to become shock jockeys for capital?
using the pmarca/songhurst frame is useful here. venture capital started as a way to underwrite the expansion of sales forces for companies selling installable packaged software.
venture then became a much larger industry as it became obvious that subscription software alongside consumer internet meant these companies could be much larger. this meant firms could put more dollars to work in individual companies, and expect greater returns from each dollar.
either way, ventured backed internet companies scaled as a function of equity dollars input into the machine. this worked phenomenally well for 25+ years and produced incredible firms, returns, and fee streams.
so why in the world are respectable partners to preforming such jack-assery in front of harry stebbings? why has venture entered it's matcha-labubu-self-help-era? venture raised a hideous amount of capital over the last few years to invest behind equity.
during this same period, leading AI firms made a fundamental innovation by leveraging esoteric knowledge found from private equity: if you have enough demand, you can screw equity holders and no one cares, but its much harder to screw over debt holders.
further, everything that isn't putting a trillion dollars into the ground for GPUs (read: the rest of software) just has fundamentally less need for capital. they can scale with machine assistance now rather than humans.
so you have a tremendously k-shaped venture market where the bottom half might be phenomenal venture outcomes if you invest early but need very little capital otherwise
and the top half are a whole different thing where it unclear if equity is even the product you want to own but your LPs sure are asking about it.
this puts you in an incredibly hard place if you are a middle of the road venture platform. you probably can't meaningfully address the bottom leg of the K, scaled platforms have never been good at seed investing (see the Jack Altman/Mel Williams podcast)
and you probably aren't systemically important enough to set terms on one of the trillion dollar capex sinks but are large enough to be asked to follow into one.
this puts you in an incredibly difficult place, and may make you start believing or at least saying incredibly odd things about the world. some of these things include that revenue velocity is the only possible thing that matters
and thus you spend an increasingly large amount of your time originating platforms that optimize for revenue velocity and revenue velocity alone (inorganic, upside down $'s)
the honest and high integrity move for many of these firms to do is to go to their LPs, rip the bandaid off, and either downsize these funds or ask for massively more expanded remits to prosecute what is interesting across the capital stack (debt, receivables, hard asset financing)
but instead a storied few are taking a much less honorable path. they are foie gras'ing capital down the throats of increasingly constructed and paper originated firms, optimized for revenue and revenue velocity alone.
That’s an expensive seed round
I was quoted in a Bloomberg article today. To think $TSLA has a $1.2 trillion market cap based on stuff that doesn't work or exist, let alone doesn't make money



























