The title makes it sound like they just did a seed round, but the seed round was announced in August of last year [0].
Their website landing page is now also showing the software is no longer maintained. No mention of why they made this decision, my best guess is they burned through their seed money and were unable to attract further investments.
Burning through $7m in 9 months? That's an impressive amount of avocado toast.
rfgplk 15 minutes ago [-]
$7m actually isn't a whole lot, especially if they hired a (larger) engineering team. Assuming their cali based, that's easily 150-200k per engineer, a team of 20 easily eats through that. Idk the specifics, but I don't the organization was fradulent, it could also be that they're going commercial and no longer want to maintain their oss stack
DiggyJohnson 7 minutes ago [-]
20 engineers would be incredibly aggressive growth for such a young company with that amount of capital, no?
vips7L 3 minutes ago [-]
I thought ai was writing all the code. What do they need engineers for?
yett 1 hours ago [-]
And AI tokens
api 18 minutes ago [-]
That would be a lot still. That’s a lot of money.
I’d bet on extreme irresponsibility.
mmaunder 1 hours ago [-]
And poached eggs.
RobotToaster 55 minutes ago [-]
Avocado intelligence.
Noaidi 51 minutes ago [-]
Please don't bring Reddit brain here...
raverbashing 49 minutes ago [-]
Those Claude tokens are not cheap you know /s
pnw 1 hours ago [-]
The company was started in January 2024, so the seed financing is likely a roll-up of two years of fundraising. $7m for ~30 months of running an AI startup in NYC is not that unusual.
hoppp 2 hours ago [-]
The project was probably just built to raise funds, a bait, and after thats done it's dead.
jnovek 47 minutes ago [-]
Were the thousands of commits and hundreds of feature branches over the last 9 months just to keep up appearances, then? Were the 850 people who forked it in on the scheme, too?
pqtyw 44 minutes ago [-]
Well.. if that's it it's not really much to shown for if you spent $7 million on it.
dpkirchner 9 minutes ago [-]
It's not even clear they spent all the money. Maybe it just wasn't a viable product.
armchairhacker 30 minutes ago [-]
Did Claude make the commits and branches?
(Honestly I don’t think so here, but I predict that will happen eventually)
2 hours ago [-]
Blackthorn 18 minutes ago [-]
Sometimes things just fail.
realsarm 2 hours ago [-]
You can call it a bait but where is VCs due diligence for this. Most VCs where out there defending their infra layers investment. Just look at YC batches and see the inflated number of infra startups.
jnovek 1 hours ago [-]
Right? I’ve been through due diligence and it’s neither a quick nor simple process, even for seed.
Noaidi 50 minutes ago [-]
A great way to launder money then?
jazzyjackson 27 minutes ago [-]
Which step of “VC firm with millions to invest” and “fresh grads blow millions on AWS bills, sushi delivery and ketamine” is dirty money being washed?
ajross 1 hours ago [-]
"Failure" is the expected median though. You can't due-diligence your way out of "startup ran out of runway"!
The discussion here isn't about funding, it's that there's a presumptively useful community tool which got abandoned because its owners took their toys and went home when the money ran out (instead of making a sincere effort at transitioning to community governance). That's on the IP owners being selfish jerks and/or grifting losers. It's not the VC's fault.
skeledrew 28 minutes ago [-]
At least the repo is still available. Anyone can fork and carry on, create a community, etc.
jnovek 56 minutes ago [-]
While most startups fail eventually, failure in less than a year with over 7 million dollars is not the expected median. It’s the exact sort of thing that due diligence is supposed to prevent.
Also the whole project is open source. If you want, you could take it over.
realsarm 10 minutes ago [-]
That's why either VCs confused moat with bot farms and farmed stars over solving genuine problems or they just blindly invested based on founders track record no matter what. To me both are really by product vibe coding hype and chatgpt killing wrappers.
gwerbin 27 minutes ago [-]
Are there cases when VC investors actually went after founders for fraud or embezzlement or misrepresenting the business or something like that?
singpolyma3 1 hours ago [-]
It's not on anyone to set up your favourite "governance" system. If anyone honestly wants to keep maintaining or using it the code is still there.
ajross 43 minutes ago [-]
Part of the social contract of putting a free software project up for public use and convincing Microsoft to host it for free (!) is indeed that you're going to maintain it in good faith for the people who consume it, and that if you can't you'll make a good faith effort to help the people who do.
There are good and bad ways to extract yourself from maintainership obligations. This is the bad way.
skeledrew 19 minutes ago [-]
No, there is no social contract here. Microsoft gives free hosting because it's cheap and also provides a path to their paid offerings. People share stuff they work on for fun, to help flesh out their resume, to get help, etc. There's no reason for a maintainer not to drop a project in a heartbeat if it becomes the slightest bit of a burden.
marssaxman 9 minutes ago [-]
There are no maintainership obligations unless someone pays you for them.
thih9 1 hours ago [-]
Which toys exactly were taken? The repo seems open source, is any component missing?
kaonwarb 37 minutes ago [-]
In response to sibling:
> It's still open source because you can fork it if you really want
Yes, that's exactly what it means!
ajross 45 minutes ago [-]
The project name, its community center and hosting environment, the active participation and consent of the copyright holders of the software was withdrawn. This is a dead project, we can all see it. If you want to use it and contribute and get help, you have no where to go.
"It's still open source because you can fork it if you really want" is a specious and unhelpful attitude, and it tells me that you, like the owners of this thing, are not to be trusted to manage such a thing.
skeledrew 14 minutes ago [-]
The project is Apache2 licensed. You can literally do anything you want with the code. Stop trying to push guilt on people for no longer providing free services.
root-parent 57 minutes ago [-]
The due diligence report just come back:
The report says, the CEO and founder, is a Ketamine addicted weirdo, who does Nazi salutes in public, is know to have at least 24 kids, and lives in an isolated farm in Texas, with at least 5 to 7 female partners, and got sued for calling a guy who saved kids a Pedophile.
You in?
DiggyJohnson 6 minutes ago [-]
Please follow the HN guidelines.
CuriouslyC 53 minutes ago [-]
Only if the CEO is the first man to step foot on mars. He gets to be immortalized, we get to watch him die living his best life.
DiggyJohnson 5 minutes ago [-]
Please follow the HN guidelines.
kmac_ 58 minutes ago [-]
About one year ago, I created an LLM gateway with metrics, provider fallback and switching, tools support, injecting, etc. etc., and unique features like acting as an MCP tools client and server, all streamed, with low latency.
It was a simple project in terms of technical complexity. I didn't publish it as I counted several similar projects in the field.
Putting $7.3M into such a project would make sense only in the case of a precise growth plan with already declared customers and an promising sales funnel. There is no technical moat.
jnovek 31 minutes ago [-]
The calculus in “buy or build” has shifted for me over the last six months especially. If I can make an agent build it, I get the version that’s tailored for me.
> It was a simple project in terms of technical complexity.
That’s the thing, though. The version I build for myself sheds all the features that get in my way. I don’t share them either because they’re only useful for me.
Perhaps in the future big tech projects will be delivered with a common “core” and the expectation that agents fill in the use-specific stuff.
rfgplk 8 minutes ago [-]
> The calculus in “buy or build” has shifted for me over the last six months especially. If I can make an agent build it, I get the version that’s tailored for me.
I feel like this is really going to change the software industry moving forwards. Historically it was tedious and time consuming to actually develop tailored dev tools which is why so many organizations relied on third party solutions. When nowadays you can easily half bake something in a few hours and get it working, tailored _specifically_ to your needs.
jaggederest 8 minutes ago [-]
> Perhaps in the future big tech projects will be delivered with a common “core” and the expectation that agents fill in the use-specific stuff.
I suspect so, the headless / "api/cli only" tools like CRM are pretty big right now and I don't think we've seen the end of that trend, probably more like just beginning.
zackify 46 minutes ago [-]
That's literally every project around AI. All the agent sandboxes. Hosting cron jobs that just hit ai rest endpoints for model completions etc
jdw64 1 hours ago [-]
VCs think, 'Apps are risky, infrastructure is safe,'
so they invested in AI infra.
"infra is safe"
Hmm, but that wasn't a good idea.
because if an open source infrastructure project like TensorZero gets shut down this quickly, won't they start to realize that those investment theories are also risky?
The difficult thing about AI infrastructure is that, unlike other industries, it will not become fragmented. It will likely remain tied to specific big tech models. What does this mean? It means that because AI models are not yet standardized, the infrastructure itself is actually riskier. In other words, the privatization of standards is happening.
The challenge with AI infrastructure is that an independent, stable standard layer has not formed, unlike in other software infrastructure markets such as databases, web servers, cloud, and containers. Over time, those ecosystems developed relatively standardized interfaces and operational layers. But the LLM ecosystem is still evolving rapidly. Models themselves change fast, APIs differ, pricing differs, context windows, tool calling, structured output, evaluation, fine tuning, caching, routing, everything keeps changing.
So even if an infrastructure startup tries to build a common abstraction layer across multiple models, before that common layer can stabilize, big model or cloud providers like OpenAI, Anthropic, Google, AWS, or Azure can just absorb the same functionality directly. In the end, AI infrastructure is at high risk of becoming an attached feature of model providers rather than solidifying as an independent layer.
But if a startup that raised 7.3 million dollars fails this quickly, who would trust and invest in such things? That aside, it seems AI startups are all the rage these days. I also want to learn AI and get funded like that. Does anyone here trust me enough to invest? About one hundredth of that would probably be enough
rfgplk 5 minutes ago [-]
A few comments.
> VCs think, 'Apps are risky, infrastructure is safe,' so they invested in AI infra.
First off, this isn't even infra in the infra sense of the word. Infrastructure implied something physical, a pure software product can almost never be considered 'infra'. A tool maybe, but not 'infra'.
VCs can also be irrational and driven primarily by personal connections rather than reason. I didn't do a deep dive in this project/leadership, but often who you know is some important than what you produced. There's a reason why a lot of VCs go for the old motto of "I'd rather invest in an A team with a C product; than invest in a C team with an A product".
realsarm 20 minutes ago [-]
I also believe the same. Many VCs are obsessed with moat that they clearly got wrong. To me the value created at app layers are so much that gives them the flexibility to diversify their infra layers. Good harnessed do not depend on a specific model provider or memory layer or etc that when it is taken down like anthropic fable they get no risk exposure. Many even after growing train their own model like what cursor did with composer. There’s many more examples in other verticals like manus, superhuman, fireflies, lovable, replit, cursor, nouswise, cline windsurf and kilo but many are concentrated in coding because again I think VCs have preferred this definition of moat.
pqtyw 40 minutes ago [-]
Infra is perhaps somewhat safe but realistically it's a really low margin capital intense business long-term unless you can lock-in customers with hundreds of services like AWS. So not a lot of space for a huge ROI.
> are all the rage these days
Are they? Overall it seems kind of tame compared to 2020-21 since VCs are somewhat risk average outside of a few outliers. Funding looks much more concentrated these days.
jdw64 36 minutes ago [-]
You're right. Looking at recent indicators, there are more stable investments than I thought. But please understand that, as a human, I haven't achieved ROI in terms of marriage, relationships, a stable job, etc., so my perspective might be mixed with a bit of envy
indigodaddy 25 minutes ago [-]
Just use Plexus [1]. The maintainer is not trying to be a hero or raise seed dollars or even really trying to promote it. He's just making an excellent, useful product. (Unaffiliated, just a happy user). It's not a full-on "LLMOps" platform (whatever that is), it's just a proxy that works very well and has some nice features.
This is the claim in the repo readme that presumably unlocked the VC investment:
“TensorZero is used by companies ranging from frontier AI startups to the Fortune 10 and fuels ~1% of global LLM API spend today.”
One percent seems like a lot. Anyone on HN use this?
spmurrayzzz 27 minutes ago [-]
I used it, but only briefly to evaluate it. It had some overlap with a tool I built myself, was curious if any of the extra features would be useful.
Ultimately I found the data model and UI to be both cumbersome and unintuitive. Langfuse ended up being the observability tool I went with instead over the one I built (and still use today).
sebmellen 1 hours ago [-]
Generally speaking, every YC company post ~2020 is forced to make pathologically false claims to compete in the (fundraising) market.
croes 35 minutes ago [-]
Rounded to the nearest percent >0
lostmsu 31 minutes ago [-]
ceil(market_share)
ojosilva 24 minutes ago [-]
Just tell AI to write your copy and that's what you get, overhype-as-a-service.
bz_bz_bz 2 hours ago [-]
Seed was in Aug ‘25 and website simply says the project will no longer be maintained: https://www.tensorzero.com/
For people like myself, who didn't understand the timing of events - raised in august 2025, archived yesterday without any notice.
1 hours ago [-]
ianm218 1 hours ago [-]
Guessing that the founders got 7 figure offers from AI labs or similar and decided that was an easier path.
hek2sch 3 hours ago [-]
Most VCs avoided application layer believing it is too risky with few player would emerge as winner over application layers calling them GPT wrapper (now called Harness) and pouring money into infra layer. Would love to see your opinion about how this thesis would turn out going forward.
_pdp_ 2 hours ago [-]
Not my experience. I think most VCs thesis is around the application layer - not much around the infrastructure.
That being said, while I am biased, there is a lot of work around infrastructure so calling it "just a wrapper" massively underestimates the effort - this is purely from my own experience building this space.
Besides, if it is true how come OpenClaw is spending so much money on a open source project. Salaries alone will cost 7 digit sum for a harness and I have first hand experience dealing with companies doing exactly this.
Shameful plug - we are building cbk.ai, better known today as chatbotkit.com.
variety8675 1 hours ago [-]
Open source powers the business of many large corporations and they give essentially nothing back - why would maintainers refuse an offer for money in this environment?
feverzsj 1 hours ago [-]
At least it's not a pig butchering scam.
BoredPositron 2 hours ago [-]
Holy burn rate.
villgax 60 minutes ago [-]
Just switch to Bifrost already
rvz 2 hours ago [-]
But it is written in Rust™.
shevy-java 1 hours ago [-]
Guys - skynet is winning the war. We oldschool humans are left behind here.
Wasn't GitHub once a place for humans? Now we could rename it SkyHub.
Their website landing page is now also showing the software is no longer maintained. No mention of why they made this decision, my best guess is they burned through their seed money and were unable to attract further investments.
[0]: https://www.tensorzero.com/blog/tensorzero-raises-7-3m-seed-...
I’d bet on extreme irresponsibility.
(Honestly I don’t think so here, but I predict that will happen eventually)
The discussion here isn't about funding, it's that there's a presumptively useful community tool which got abandoned because its owners took their toys and went home when the money ran out (instead of making a sincere effort at transitioning to community governance). That's on the IP owners being selfish jerks and/or grifting losers. It's not the VC's fault.
Also the whole project is open source. If you want, you could take it over.
There are good and bad ways to extract yourself from maintainership obligations. This is the bad way.
Yes, that's exactly what it means!
"It's still open source because you can fork it if you really want" is a specious and unhelpful attitude, and it tells me that you, like the owners of this thing, are not to be trusted to manage such a thing.
The report says, the CEO and founder, is a Ketamine addicted weirdo, who does Nazi salutes in public, is know to have at least 24 kids, and lives in an isolated farm in Texas, with at least 5 to 7 female partners, and got sued for calling a guy who saved kids a Pedophile.
You in?
It was a simple project in terms of technical complexity. I didn't publish it as I counted several similar projects in the field.
Putting $7.3M into such a project would make sense only in the case of a precise growth plan with already declared customers and an promising sales funnel. There is no technical moat.
> It was a simple project in terms of technical complexity.
That’s the thing, though. The version I build for myself sheds all the features that get in my way. I don’t share them either because they’re only useful for me.
Perhaps in the future big tech projects will be delivered with a common “core” and the expectation that agents fill in the use-specific stuff.
I feel like this is really going to change the software industry moving forwards. Historically it was tedious and time consuming to actually develop tailored dev tools which is why so many organizations relied on third party solutions. When nowadays you can easily half bake something in a few hours and get it working, tailored _specifically_ to your needs.
I suspect so, the headless / "api/cli only" tools like CRM are pretty big right now and I don't think we've seen the end of that trend, probably more like just beginning.
"infra is safe" Hmm, but that wasn't a good idea. because if an open source infrastructure project like TensorZero gets shut down this quickly, won't they start to realize that those investment theories are also risky?
The difficult thing about AI infrastructure is that, unlike other industries, it will not become fragmented. It will likely remain tied to specific big tech models. What does this mean? It means that because AI models are not yet standardized, the infrastructure itself is actually riskier. In other words, the privatization of standards is happening.
The challenge with AI infrastructure is that an independent, stable standard layer has not formed, unlike in other software infrastructure markets such as databases, web servers, cloud, and containers. Over time, those ecosystems developed relatively standardized interfaces and operational layers. But the LLM ecosystem is still evolving rapidly. Models themselves change fast, APIs differ, pricing differs, context windows, tool calling, structured output, evaluation, fine tuning, caching, routing, everything keeps changing.
So even if an infrastructure startup tries to build a common abstraction layer across multiple models, before that common layer can stabilize, big model or cloud providers like OpenAI, Anthropic, Google, AWS, or Azure can just absorb the same functionality directly. In the end, AI infrastructure is at high risk of becoming an attached feature of model providers rather than solidifying as an independent layer.
But if a startup that raised 7.3 million dollars fails this quickly, who would trust and invest in such things? That aside, it seems AI startups are all the rage these days. I also want to learn AI and get funded like that. Does anyone here trust me enough to invest? About one hundredth of that would probably be enough
> VCs think, 'Apps are risky, infrastructure is safe,' so they invested in AI infra.
First off, this isn't even infra in the infra sense of the word. Infrastructure implied something physical, a pure software product can almost never be considered 'infra'. A tool maybe, but not 'infra'.
VCs can also be irrational and driven primarily by personal connections rather than reason. I didn't do a deep dive in this project/leadership, but often who you know is some important than what you produced. There's a reason why a lot of VCs go for the old motto of "I'd rather invest in an A team with a C product; than invest in a C team with an A product".
> are all the rage these days
Are they? Overall it seems kind of tame compared to 2020-21 since VCs are somewhat risk average outside of a few outliers. Funding looks much more concentrated these days.
[1] https://github.com/mcowger/plexus
“TensorZero is used by companies ranging from frontier AI startups to the Fortune 10 and fuels ~1% of global LLM API spend today.”
One percent seems like a lot. Anyone on HN use this?
Ultimately I found the data model and UI to be both cumbersome and unintuitive. Langfuse ended up being the observability tool I went with instead over the one I built (and still use today).
https://github.com/TensorOne
https://github.com/BerriAI/litellm/
That being said, while I am biased, there is a lot of work around infrastructure so calling it "just a wrapper" massively underestimates the effort - this is purely from my own experience building this space.
Besides, if it is true how come OpenClaw is spending so much money on a open source project. Salaries alone will cost 7 digit sum for a harness and I have first hand experience dealing with companies doing exactly this.
Shameful plug - we are building cbk.ai, better known today as chatbotkit.com.
Wasn't GitHub once a place for humans? Now we could rename it SkyHub.
PS: Someone won't become a trillionaire with this attitude.