one.dyor

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one.dyor

one.dyor

@one_dyor

You are not what you do You are not what you think You are the one who decides

x Katılım Mart 2021
1.8K Takip Edilen625 Takipçiler
self.dll
self.dll@seelffff·
i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts    14K stars. by TradingView themselves. 45KB. free github.com/tradingview/li… 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude    every macro dataset the Fed publishes. free API github.com/mortada/fredapi 3. backtest platform ($100/mo) → prediction-market-backtesting    NautilusTrader fork with Polymarket + Kalshi adapters github.com/evan-kolberg/p… 4. real-time dashboard → polyrec    terminal UI: Chainlink oracle, Binance feed, orderbook depth    70+ indicators. auto CSV logging. strategy backtester github.com/txbabaxyz/poly… 5. bot framework (7 strategies) → Polymarket-Trading-Bot    53K lines TypeScript. arbitrage, momentum, market making,    AI forecast, whale copy-trade, convergence github.com/dylanpersonguy… 6. strategy reverse engineering → polybot    execution + market data infrastructure. paper trading    Kafka, ClickHouse, Grafana. full analytics pipeline github.com/ent0n29/polybot 7. paper trading for AI agents → polymarket-paper-trader    real order books. exact fee model. slippage tracking    your Claude agent gets $10K paper money and trades github.com/agent-next/pol… 8. token savings → rtk    CLI proxy. cuts Claude Code tokens by 60-90%    Rust. single binary. 10 AI tools supported github.com/rtk-ai/rtk 9. Claude Code itself ($200/mo) → goose    35K stars. by Block (Jack Dorsey). Rust    works with any LLM. full agent loop. free github.com/block/goose 10. wallet tracking + copy trading → Kreo     track top Polymarket wallets. auto copy trades     the only tool on this list i actually pay for     because it makes more than it costs t.me/KreoPolyBot?st… total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it
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Beep
Beep@0xbeepit·
How to deploy a Beep Agent Trader? 1. Select a strategy preset (agent character) 2. Choose the underlying AI model and markets 3. Configure risk parameters and allocation 4. Deploy to market and let your agent trade Join Agent Trader R2 now: justbeep.it
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Max
Max@MaxVoshchansky·
from 2028, w/ love a week hasn’t even passed since @Citrini7 dropped that “here’s the world in 2 years” piece and… it’s already getting validated in real time tldr of the scenario: > ai replaces white collar at scale > companies fire people, then spend the savings on even more ai. flywheel starts > agents start nuking subscription businesses, logistics, travel, insurance, legal, real estate, and especially payments by pushing transactions into stablecoins on l1/l2 > laid off workers lose income → unpaid loans spike sounds dark. and today @jack basically roleplays Thanos - @blocks cuts ~4,000 jobs, almost half the company. explicitly framing it as an ai restructure. and the market rewards it with a ~20%+ move and it’s not slowing down. look at the shipping velocity from openai / anthropic / google / perplexity. every day there’s a new “wait dafuq” feature that deletes a job-shaped chunk of work > figma integrations from claude > excel integration from claude > power point integration claude > openclaw & claude remote control & perplexity computer > perplexity are preparing comet for iOS > mition design by claude & remotion > website toolkit from gemini > seo and marketing job from claude > veo & nano banana 2 generations > coding with antigravity, claude > games with genie so yeah ok, cool doomer movie but the real question is: what do we do to make money, right now? crypto makes your brain pve: > you don’t see the trader you’re trading against > you don’t think about the dev you’re sybil’ing ai is pvp: you gotta be an entrepreneur. build something. find pmf. market it. sell it. deliver it. repeat bigger skill ceiling. but not impossible. and some money is honestly… free-ish if you’re willing to sell. here’s the clearest example: there are paid Openclaw skills on Larry marketplace. vpn setup skills with real purchases. video downloading skills with a bunch of purchases. people are paying because they don’t wanna suffer. you already know this pain funny part: before i even saw those listings, i independently hit the exact same needs i asked openclaw to install softether vpn and tell me how to add it to iphone + autostart on reboot. one request. done video downloading took me like 5-6 prompts because every platform is annoying + copyright imitations and there’s bigger tickets too: > people have made ~$36,000 installing openclaw for teams according to trustmrr > people have made ~$50,000 installing it for normies and a long tail making anywhere from a few hundred to tens of thousands you get the idea the bottleneck isn’t “ai”. it’s sales so pick your poison: > sell skills in larry marketplace > sell personas in clawmart > farm stars and rank on clawhub > launch on product hunt > close tasks in virtuals bounties or go the harder route: grants, partnerships, enterprise installs just a reality check
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Spark
Spark@Spark_coded·
Spark Intelligence lifetime sale is live! A self-evolving AI agent. The more you use it, the smarter it gets. Lifetime sale is now active for 45 days. What lifetime members get: - Lifetime Spark upgrades - Essential tools to evolve Spark - Library of domain evolution chips (pre-built skill modules that level up Spark's learning in specific areas) - Exclusive access to premium features - 10% of $SPARK token supply, equally divided among all lifetime buyers SFUND Community & X Community allocations will remain the same, this 10% will come from vibe coders allocations, for the real users of Spark Intelligence. The product will constantly evolve through tooling, benchmark systems, and integrations to popular frameworks. The code will be open source, and OSS contributions will be welcome: with a goal to have an open ecosystem around Spark and SparkNet for everyone's benefit, while having a membership for the premium features. Spark Intelligence's self-evolving AI system will be live on the 21st of this month. How to participate: Simple USDC transfer. No wallet connections needed. Lifetime sub: $279 USDC You can buy multiple for gifting to others. IMPORTANT: Only send USDC from non-exchange wallets. $SPARK tokens will be airdropped to the address you send from. Address: 0xD15257A5C18d2fF107E9e3F7dE434F90C8256c85 Networks: Base & Ethereum ⚠️ This is the ONLY official address to send sub purchases. Ignore any others posted in replies. $SPARK token gifts will be available until the snapshot before token launch. If you buy a lifetime after token launch there won't be any token gifts. --- For those who don't grab lifetime: Early bird (first 2 months only): $14.99/mo Regular: $22.59/mo or $229/yr Card payments via x402 and Stripe coming soon for monthly and yearly subs. --- Below you can find a snippet from a recent evolution run, out of 10 points, Spark could even evolve already available LLM models, where we tried to evolve Deepseek's reasoning in the current benchmark test. The tooling will be shared so you can benchmark & evolve many other models, including local LLM models, while evolving Spark. --- Spark will come with many modules to learn and evolve from your direct conversations & projects, tooling, social APIs, and more. Spark is already compatible with most popular LLMs and IDEs, and we will continue to make it available with all the popular frameworks.
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DataHaven 🫎
DataHaven 🫎@DataHaven_xyz·
This quest could help you finally understand the core difference between centralized vs decentralized storage! Data once lived behind centralized walls, governed by trust and assumption. Now, as data underpins global systems, those walls feel thinner. Come along as Vera invites you to explore why proof is greater than promises.
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DataHaven 🫎
DataHaven 🫎@DataHaven_xyz·
Meet the team!✨🫎 He’s the one keeping the Haven steady, guiding strategy with nearly two decades of financial experience and a knack for turning complexity into clarity. Say hello to Prasanna Ketheeswaran, our Chief Financial Officer💡
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Adeniyi.sui
Adeniyi.sui@EmanAbio·
FINALLY HERE 😍 : Season one of @DeepBookonSui points program is live! It is designed to reward users that use applications within the DeepBook ecosystem as well as broader #Sui DeFi. 1) Trading on @abyssdotxyz @_deeptrade --> Points! 2) Using an aggregator and got routed through DeepBook? --> Points! 3) Collateralizing your yield tokens? --> Points! For more, head to deepbook.tech/points
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aisama.code
aisama.code@on_punchman·
What hooks me about @SpaceComputerIO x @DataHaven_xyz is the idea of compute that’s physically out of reach Satellite-hosted TEEs aren’t just “secure by policy” - they’re isolated by design, which makes tampering and jurisdiction pressure way harder to pull off The other half is just as important: @DataHaven_xyz as verifiable memory. If execution happens in orbit but the inputs, outputs, and proofs aren’t preserved with integrity, you still end up arguing about what actually happened @SpaceComputerIO + verifiable storage turns “don’t trust, verify” into a full pipeline, not a slogan
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aisama.code
aisama.code@on_punchman·
We’re about to live in a world where AI agents don’t just answer questions - they negotiate, schedule, purchase, file reports, and keep long-running context across months And once that happens, “agent memory” stops being a feature and becomes infrastructure: if it’s fragile, everything built on top of it is fragile too That’s where @DataHaven_xyz feels like the right direction for private, verifiable memory. The win isn’t only privacy - it’s continuity with accountability - An agent can keep sensitive context sealed, while the system still gives you a way to prove what was stored, when it was stored, and whether anything changed along the way. That’s the difference between “trust me” and “verify me” The technical edge is quietly strong: anchoring integrity guarantees to Ethereum’s security model, tamper-evident proofs, and access control that isn’t just a checkbox - You get a storage layer that can survive real-world pressure: audits, disputes, regulated data retention, and the messy reality of multiple systems depending on the same memory And the adoption curve feels almost inevitable Not because people love cryptography - but because businesses love not getting sued, and users love not being burned The first time an agent makes a high-stakes decision, everyone will ask the same thing: can we prove what it knew at that moment? Verifiable memory is the kind of upgrade that becomes standard… simply because the alternative is too expensive
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Scoreline by Fan360
Scoreline by Fan360@scorelinedotfun·
Second $FAN buyback successfully executed. 20% of the FAN supply, 8,256,004 tokens have been removed from the liquidity pool, upholding the “ownership coin” concept. Reduce FAN supply, build and ship engaging sports prediction products and features, thats the 2026 strategy. Co-own with us🤝
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aisama.code
aisama.code@on_punchman·
The vibes from $FAN holders/traders on @dexscreener are seriously impressive! @fan360games launched @scorelinedotfun – a blockchain-based football match prediction game built on @base. It's live on @farcaster_xyz and @baseapp – definitely worth checking out! I think $FAN is super early stage: solid working product, reliable dev team, but still low holder count and DEX volumes This screams that full marketing hasn't kicked off yet Peek at the tokenomics, and you'll spot massive potential (NFA) But hey, don't take my word – DYOR and see for yourself!
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dango🍡
dango🍡@dango·
There’s something about this week that feels different. Like we’re standing right in front of something big and just taking it in for a second. Alpha is nearly here, and it feels surreal watching it all come together. Glad to be here with all of the dangbros🍡
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one.dyor
one.dyor@one_dyor·
What I like about @blockstranding is that you do not have to rush. You just exist inside its pace The flow of combat, the way Yaps and SP accumulate, and even the small details in Game Tasks make progress feel earned rather than handed out I have been here since the beginning of Season 2, and the stability is impressive. Every update quietly improves the mechanics and structure It is one of the few projects where progress is felt not through loud promises but through results that speak for themselves
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one.dyor
one.dyor@one_dyor·
What 🍡 @dango proves is that transparency is not a slogan, it is a system feature Every testnet, every audit, every fix is visible to users who want to understand, not just consume You do not have to trust announcements when you can verify results directly onchain In a world of marketing-driven projects, this kind of openness feels almost rare. But that is exactly why it matters Trust that can be verified will always outlast promises that cannot gdango 🍡
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PRIMES
PRIMES@primesdotgg·
You don’t need millions to go viral. You need the right engine. PRIMES powers real traction for projects of any size and rewards contributors who make it happen. The ultimate platform built for all. Apply early → primes.gg We don’t chase hype, we prime it.
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