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James Woodman Profile
James Woodman

@jameswoodmanv

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3K
Following
2K
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22
Statuses
252

co-founder @manifoldlabs | prev coo @opentensor

Joined August 2020
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@jameswoodmanv
James Woodman
2 years
How to change the world using Bittensor:. 1. Write your own incentive mechanism. 2. Use the outputs to create more, and help others create their own. 3. Defeat corporate AI by building an intelligence network for the people, by the people.
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@grok
Grok
21 hours
Blazing-fast image creation – using just your voice. Try Grok Imagine.
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@jameswoodmanv
James Woodman
12 hours
In early stage markets, there is always a healthy level of speculation, as new companies are entering new markets with several unknown variables. I am noticing an increasing amount of “compounding speculation” in later stage markets, which is being disguised as compounding.
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@jameswoodmanv
James Woodman
2 days
Coreweave is financing its “demand led capex” efficiently, lowering the cost of capital to 9.34%. But the problem is: Accounts receivable has grown by $1.5B in H1 2025, and revenue backlog has grown materially as well, with an increasing amount in the short-term (< 24 months)
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@jameswoodmanv
James Woodman
4 days
Sources:
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@jameswoodmanv
James Woodman
4 days
Impressive growth from OpenAI, going from 3M to 5M paying business users in ~2 months, but this number is almost certainly juiced by the $1 business promo introduced in June. It took the company 4 months (from February - June) to organically go from 2M to 3M paying business users.
@bradlightcap
Brad Lightcap
13 days
we have surpassed 5M paying business users on chatgpt, up from 3M in june. we continue to see growth in every segment, from small startups and SMBs to fortune 500. we are working to make it easier for companies of any size to get to implementation and success quickly. a shift.
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@jameswoodmanv
James Woodman
6 days
Source:
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@jameswoodmanv
James Woodman
6 days
One year ago, Meta held $77.8B cash and marketable securities on its balance sheet. Today, it holds $47.1B. Zuck is projecting $66-72B in NTM capex. If he used solely advertising free cash flow + existing cash, Meta would be down to ~$13B in cash at this time next year (from.
@business
Bloomberg
7 days
Meta has selected Pimco and Blue Owl Capital to lead a $29 billion financing for its data center expansion in rural Louisiana as the artificial intelligence race heats up
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@jameswoodmanv
James Woodman
17 days
Should we give a UX overhaul and offer fully private, encrypted chats powered by Targon?.
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@jameswoodmanv
James Woodman
17 days
We are very excited to announce the largest raise in Bittensor history. As a Bittensor company, we have a commitment to return 100% of all revenues generated by @TargonCompute to the holders of SN4 alpha. Going into our fundraise, we only wanted to work with investors who truly.
@manifoldlabs
Manifold
18 days
Manifold has raised a $10.5M Series A to accelerate the growth of @TargonCompute
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@jameswoodmanv
James Woodman
17 days
Always a pleasure chatting with Grant @VenturaLabs.
@VenturaLabs
Ventura Labs
17 days
Ventura Labs Ep. 53 - Manifold Labs. James (@jameswoodmanv) is the co-founder and Josh (@0ximjosh) is the CTO of Manifold Labs (@manifoldlabs). Timestamps.1:22 – Introduction.1:57 – Introduction of Josh.2:17 – Targon architecture and validators.3:11 – Miner proxy communication
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@jameswoodmanv
James Woodman
22 days
How to scale compute more efficiently than OpenAI:. 1. Create a globally distributed network of compute.2. Generate revenue via 3. Return revenue to the globally distributed network of compute, offering 100% utilization to providers.4. Globally distributed.
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@jameswoodmanv
James Woodman
23 days
Users asked for this model earlier today and the team got it deployed at lightning speed. Very proud of how quickly the entire @TargonCompute team has been moving recently.
@TargonCompute
τargon
23 days
Qwen3-235B-A22B-2507 is live on both Targon and OpenRouter. $0.12 / M input tokens.$0.59 / M output tokens
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@jameswoodmanv
James Woodman
24 days
Stargate is a highly inefficient build. As WSJ reports, OpenAI is now beginning to strike smaller deals for nearly as much capacity. These deals are still more inefficient than they should be (opaque financing rates, power constraints etc). Soon, these deals will flow through
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@jameswoodmanv
James Woodman
26 days
$62,070 (144.64τ) has been returned to SN4 alpha over the last 13 days. Targon is setting the standard for what a sustainable subnet on Bittensor looks like.
@TargonCompute
τargon
1 month
We have begun buying back SN4 alpha with revenue generated via the platform and will continue to do so with 100% of all revenues. $18,310 will be returned to SN4 holders within the next 24 hours
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@jameswoodmanv
James Woodman
28 days
When she realizes you own zero SN4 alpha @TargonCompute
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@jameswoodmanv
James Woodman
1 month
Self-interested individuals, operating in a free market, can unintentionally benefit the Targon ecosystem as a whole. @TargonCompute.
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@jameswoodmanv
James Woodman
1 month
One of the most exciting updates in Targon history. Forcing miners to set ask prices will help us find the true spot clearing price for any machine. For miners: the edge is ultimately the ability to drive down your cost basis without driving down the quality of your compute.
@TargonCompute
τargon
1 month
Introducing Targon Order Book. Today, we’re giving miners the ability to set “ask” prices for their H200s. Every interval, Targon has ~$3,000 available to compensate miners. In today’s simple market, all miners are compensated pro rata for the machines they bring online — with no.
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@jameswoodmanv
James Woodman
1 month
Thank you for having me on @SiamKidd and @MarkCreaser.
@SiamKidd
siamkidd
1 month
Bittensor Revenue Search 14: James Woodman - SN4 Targon
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@jameswoodmanv
James Woodman
1 month
Well said @neuromancer_t - the strongest subnets are building a sustainable economy. On Targon, our inference business directly funds miner compute capex - creating a self-reinforcing economic loop. We are perfectly incentivized to return revenue to SN4 via token buybacks as it.
@neuromancer_t
Neuroman𐤊er
1 month
Good Subnets are Efficient Flywheels. $tao .
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