Seasoned Vet

Joined May 2014
I keep stacking as much $POD as possible between between 10 - 15M. I expect @dphnAI to be trading around 100M within the next 30 days.
Let's run some numbers on $POD, and address why the FDV is truly a 'meme' in this case: At its last datagen peak the network processed 3.5B output tokens/day across a 600-GPU fleet. With V2 unlocking meaningful per-GPU efficiency gains, 10B output tokens/day is a reasonable conservative target to anchor against. Below is what both look like at OpenRouter-rate pricing ($0.80 per 1M output, $0.15 per 1M input) and the historical 20:1 input:output ratio that real agent workloads tend to land on. Note: this is a single-model exercise (Qwen 3.6 35B economics). In practice the network will serve a basket including Gemma 31B and 26B, which are faster and cheaper, broadening the addressable demand pool. So the math here is conservative on the revenue side. Current 3.5B output/day: Output revenue: $2,800/day Input revenue: $10,500/day Gross revenue: $13,300/day, all of which routes to POD buybacks Node emissions ($0.50 per 1M output): $1,750/day Buyback-to-emissions ratio: 7.6x (!) For every $1 of POD paid out as emissions, $7.60 of POD is being bought back off the market. Most of those emissions are paid bonded, with a 20% fee on liquid claims routing back to stakers, so even the share that does hit the float gets partially absorbed by the same flywheel. Against ~$10M in circulating market cap, that means current-rate buybacks already represent roughly 4% of the float being bought back annually. Post-V2 scenario, closer to 13%. On the float that's actually tradeable, the bid is structurally large. Annualised current: ~$4.85M gross to buyback against a $100M FDV. About 21x. Post-V2 conservative 10B output/day, same prices and mix: Gross revenue: $38,000/day → ~$13.9M/year to buyback Node emissions: $5,000/day Buyback-to-emissions ratio: 7.6x (constant, the design scales linearly) For benchmark, HYPE currently generates around $2.54M/day in fee-driven buybacks, $927M annualised, against a $58B FDV. The market values that buyback flow at roughly 63x. Apply the same multiple to POD's current 3.5B-per-day economics and the implied FDV is roughly $300M, about 3x current. Apply it to the post-V2 10B scenario and you land closer to $880M, around 8.8x current. The 10B figure is a working assumption of what V2 should unlock; the real number could be lower or higher and needs to be seen once V2 ships and the API is live. But the 7.6x buyback-to-emissions ratio is what makes the FDV stop mattering the way most people assume it does. It is not a token waiting to dump on you. It is a token the protocol is mechanically buying back faster than it is being issued.
1
11
1,546
Tre retweeted
Gateway to purchase API credits from @dphnAI API is live. Check here: claim.dphn.ai/app/credits/ Connect the wallet where you want credits and pay. base:0xed664536023d8e4b1640c394777d34abaff1df8f 📈
2
8
90
Mara went to work on both ends 😤 Your @OGandE Power Play of the Game
38
445
76
3,673
173,863
OKC really drafted the Wemby stopper 😭 Mara just OWNED Wemby on BOTH ends
472
1,654
436
25,092
1,851,235
The biggest opportunities are usually the ones nobody is talking about. 98% of CT is still silent on base:0xed664536023d8e4b1640c394777d34abaff1df8f , yet we’re holding these levels. Imagine what happens when the entire timeline starts paying attention. Another project moved in silence just like this and is now sitting at a $750M market cap. The real alpha is spotting it before the crowd does. @dphnAI
2
2
7
263
base:0xed664536023d8e4b1640c394777d34abaff1df8f served ~32bn DeepSeek API tokens through its inference network over the last 24hrs - around 6% of the ~500bn/day Venice reported last week - whilst the network remains in effectively closed beta.... Usage is still predominantly running on promotional credits so not a revenue signal (yet), but the throughput confirms the network is capable of production-scale volume. 💪
4
6
3
28
2,748
base:0xed664536023d8e4b1640c394777d34abaff1df8f 👀
DeepSeek-V4.1-Flash-1017 is now live on the Dolphin API $10 in free API credits for the next 5,000 signups Lowest pricing on the market at $0.01 / $0.07 per million tokens dphn.ai/API
1
270
Tre retweeted
DeepSeek-V4.1-Flash-1017 is now live on the Dolphin API $10 in free API credits for the next 5,000 signups Lowest pricing on the market at $0.01 / $0.07 per million tokens dphn.ai/API
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
28
26
3
292
22,023
base:0xed664536023d8e4b1640c394777d34abaff1df8f @dphnAI has a new dashboard with live token processing. Can’t wait to see these numbers in the next 30-90 days. network.dphn.ai/
1
4
15
383
Everyone is screaming about their bags dumping. base:0xed664536023d8e4b1640c394777d34abaff1df8f holders are just chillin comfy and showing incredible strength. Imagine what happens with @dphnAI when the market turns around. Pretty sure we run the hardest.
1
3
13
349
Timeline says "long inference capital markets" but silent on this. @dphnAI is the most direct expression of that view on-chain: GPU workers supply compute and get paid in $POD, and every dollar of API revenue buys $POD back on the open market The numbers worth looking at: > 8T tokens processed across 1.6K workers since inception > 283 GPUs live, ~162K tokens/s right now (about 14B tokens a day at that pace) > Weekly $POD paid to workers fell from ~300K in late June to 55–80K over the past month, so buybacks have much less new supply to absorb > 96-98% cache hit rate on agent workloads. Agents resend the same long context over and over, and cached prefill is where Dolphin’s cost edge comes from But...the self-serve API on DeepSeek V4.1 Flash only went live a few days back, hence there’s still no published revenue figure, and throughput today is well below its summer peak. So anyone (like me) buying/accumulating $POD right now is buying the narrative - that inference demand keeps compounding, and that @dphnAI captures enough of it for buybacks to outrun what workers get paid. I think that’s a reasonable bet to make early, as long as you’re clear it’s a bet on demand nobody has seen priced in public yet.
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
7
3
31
1,427
Tre retweeted
This filled very fast so dropping another key API10 - $10 free credit for the next 5000 signups dphn.ai/API Cheapest DeepSeek inference on the market $0.01 / $0.07 with a 97%+ cache hit rate
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
8
15
4
139
11,023
Your not bullish enough on base:0xed664536023d8e4b1640c394777d34abaff1df8f
Running @dphnAI API on my local machine using DeepSeek harness. 99% Cache hit, 0.2$ cost to use 16M tokens. 😍 base:0xed664536023d8e4b1640c394777d34abaff1df8f
3
8
386
Tre retweeted
Running @dphnAI API on my local machine using DeepSeek harness. 99% Cache hit, 0.2$ cost to use 16M tokens. 😍 base:0xed664536023d8e4b1640c394777d34abaff1df8f
6
8
3
35
1,928
$POD launches inference API powered by DeepSeek V4.1 Flash. @dphnAI is an AI lab that makes unrestricted/open models and runs a distributed inference network. Dolphin models have millions of downloads on Hugging Face. A mix of idle consumer GPUs and data center GPUs contributes compute to the network. Dolphin routes inference requests on the network. The network has so far processed ~8T+ tokens across ~1.6k unique workers. The API signals Dolphin's expansion from building models and the network to a full inference API for agents, which is cheap, high-performance, and optimized for agentic workloads. Dolphin has committed 100% of protocol revenue to open-market $POD token buybacks. However, multiple independent analyses confirm that no token buybacks have occurred to date. API usage revenue could finally kick off the buyback flywheel, driving sustained programmatic demand for $POD. $POD is up ~22.2% in the last 24 hours.
6
6
2
24
6,362
Tre retweeted
GM AI V2 at @token2049 was a banger 🔥 @DineroDom0 sits down with @GatheringGwei from @dphnAI to talk about cheaper AI inference, their distributed GPU network, and Flipper(their multi-agent engineering harness) 👀Watch till the end for a limited-time code to claim $50 in free inference credits
6
15
1
48
6,392
Replying to @dphnAI
@dphnAI $POD isn’t your average team. Co founders resume: Earlier Software Engineering Roles (from resume + detailed public timelines) • Senior Software Engineer, Microsoft (2021–2023) — Full-stack work on infrastructure, identity, and campaign management; TypeScript/Azure stack; React/Material UI/Redux frontends; Node backends; NestJS/Next.js migrations; pagination/filtering/sorting. • Staff Software Engineer, eBay (2019–2021) — Owned features, services, and pipelines in message platform and content management; TypeScript/React/Material UI/Formik UIs; Node/Kotlin/Java/TypeScript/Kafka backends; technical lead for architecture and deployment. • Senior Software Development Engineer, Amazon Web Services (2016–2019) — Owned UI for network topology deployment validation (TypeScript/React/Bootstrap/LoDash); Python/Java backends with PostgreSQL, DynamoDB, SQS, SNS, Lambda/Serverless; full ownership of deployment, operations, and incident response; designed for global scale with monitoring/alerts. • Prior roles include Embedded Software Engineer II at Boeing (2004–2006), Software Design Engineer in Test / related roles at Microsoft (mid-2000s), positions at Zillow, Verdiem, SDL plc, Disney Connected and Advanced Technologies, System of Systems Analytics, and early work as Firmware QA Technician at Intel and Teaching Assistant at the University of Washington.
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
1
3
10
452
Tre retweeted
Replying to @dphnAI
Possibly one of the fastest inference out there. Glad to see it finally out in public.
2
6
1
28
2,260
👀
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
3
311
Great example of inference capital markets Today most of us consume inference via subsidized monthly plans, but these won’t last forever and many builders can only use API inference That’s where markets like @dphnAI come in, congrats on this going live!
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
14
21
1
104
9,096
Dolphin API is live!
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
69
173
2
3,098
4,584,977