Community-powered weather network, that rewards weather station owners and provides accurate weather services to weather-sensitive industries.

Joined April 2017
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🚀 We’re LIVE on Amazon To kick things off, we dropped our WiFi station to €94.99 for the first wave This week = push the algorithm grow the network fast Limited units at this price — once gone, it’s over 🇫🇷 amazon.fr/dp/B0FVDKCG1T 🇮🇹 amazon.it/dp/B0FVDKCG1T 🇪🇸 amazon.es/dp/B0FVDKCG1T
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WeatherXM retweeted
Athens had a moment last week. I spent three days at @PanatheneaFest 2026, and the takeaway is simple: Athens is now on the global tech map, a place serious people choose rather than tolerate. Panathēnea is a not-for-profit, run almost entirely by students and recent graduates. That volunteer team still pulled in founders from ElevenLabs, Bolt, Runway, Airwallex, Deel and Plum; partners from Sequoia, Index, Atomico, Balderton, Northzone, 500 Global, PayPal Ventures and Dawn; operators from OpenAI, NVIDIA, Google, Microsoft and Qualcomm; and European deeptech founders from Proxima Fusion, Isar Aerospace and Open Cosmos. It also brought Greeks home, @real_ioannis (Reflection, ex-DeepMind) and @agermanidis (Runway). And teams are putting down roots here. @dionyziz' @CommonPrefix (~40 people), @poddotnetwork, and @Mysten_Labs Sui hub on the crypto-infra side; @YSmaragdakis' Dedaub on smart-contract security. Home-grown scaleups are real too: Viva.com (Greece's payments unicorn), Workable, Blueground, agritech-AI Augmenta (and more). I spoke at the Common Prefix × Pod side event on "Blockchain and Trust Technologies," alongside @sagrawal (Pod) and @nikil511, CEO of @WeatherXM. We got into the AI × crypto thread that's stopped being hand-wavy: decentralized training. You no longer need everyone in the same data center to train a frontier model. ~99% of a model's weights are bit-identical between training steps, so you ship only the ~1% that changed. @Hevalon's team at Covenant formalized this (their PULSE paper) and pre-trained Covenant-72B with trustless peers over the open internet. @huggingface then shipped the same trick in the open. Crypto's coordination layer a ~100× smaller payload = a big model trained across machines no single entity controls. The other shift I keep noticing: most people still use agents for coding, or as a Google alternative. What's coming is general-purpose agents that research, draft, plan and do your work for you, and the hardware already knows it. The silicon being built isn't sized for one assistant; it's sized for an agent fleet. Two days ago NVIDIA announced the DGX Station for Windows: a GB300 ARM desktop with up to 748GB of unified memory, built to run hundreds of concurrent agents on-prem. You don't build that for a chatbot you visit. If you don't have 5, 10, 50 agents running at all times, local and cloud, doing evals, auto-research, quietly improving work you've already done, you're probably not using AI properly yet. We're early. But the people building the hardware have placed their bet. To the Panathēnea team: thank you, and bravo. See you in 2027. 🇬🇷
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WeatherXM is entering a new phase. As one of the earlier DePIN networks, we’ve faced many of the hard problems first: useful coverage, targeted deployment, sustainable rewards, real-world demand, and coordinating physical infrastructure at scale. 1) Now we’re evolving. We are redesigning WXM tokenomics and the WeatherXM reward mechanism. 2) At the same time, we’re refactoring core infrastructure for the next generation of WeatherXM services, including AI-powered products. Some short-term turbulence may occur across rewards, the PRO API, and mobile apps as we upgrade the system. 3) We are also returning to our foundations: DEX-first, more open source, and stronger real-world utility. WXM will no longer be listed on Gate, while DEX pools remain operational. 4) We’re also preparing new WeatherXM hardware with open firmware, including mesh / Meshtastic-compatible capabilities. To prepare for this next generation, we’ll launch a discount campaign for current-generation stations while stock lasts. The first era proved a community can build a global weather network. The next era is about making it more useful, open, resilient, and sustainable. blog.weatherxm.com/weatherxm…
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WeatherXM retweeted
Replying to @momir_amidzic
Momir, moat will not be at the AI / agent level but at the data level, once we have an AI trust protocol that agentic harness can consume. In many ways, DePIN projects like @WeatherXM are building this protocol without realizing it. The trust harness for physical-world AI: a blockchain-native spatial intelligence layer that lets agents safely act on hyperlocal reality, not just digital information. btw, I came here to inform you there is an impersonator of your team scamming people x.com/jiaping_vc He sends fake NDA google docs that need to install stuff on local machines :-/

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We're excited to share the speaker lineup for Blockchain and Trust Technologies, our side event at Panathēnea 2026, hosted together with @poddotnetwork.
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ClawQueue is live 🦾 This is something I've build and use in @WeatherXM last few months to have @openclaw write @github issues for me and turn them in AI work queues that a scheduler dispatches on local machines, while team can follow up via project boards. CQ is intentionally small: GitHub holds the durable work contract, OpenClaw helps shape the work, your machine runs the workers localy, and workflow policy stays in markdown/config you can tune with your lobster. This is a good idea, if you operate your own company/project with your own profile, agents, boards, and worklog - or - you wanna contribute to an external/open-source project through. Ask openclaw to install CQ and create a project-specific CQ profile from the upstream repo’s README/docs/contribution rules, then routing issue-driven agent work into reviewed PRs Try it: clawqueue.github.io/ClawQueu…
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Joni @_veri_fi from @BLCKIoT presenting at @Princeton decenter the amazing work they did in Kenya, deploying 100 of our @helium powered weather stations, using subsidized (free) hardware part of our "targeted rollouts" campaigns. #DePIN
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Last week Météo-France filed a criminal complaint. The target: whoever held a hair dryer to a weather sensor at Charles de Gaulle airport. Twice in April, that sensor briefly read 22°C in an 18°C afternoon. Twice, a Polymarket user had wagered exactly these numbers. Payouts: $14,000 and $20,000. Polymarket switched its Paris settlement to Le Bourget and refused refunds. CNN, Le Monde, Reuters and Euronews all ran the story. The hair dryer is the funny part. The architectural failure underneath is what nobody is talking about clearly enough. This is not a Polymarket scandal. It is a weather-data scandal. The bets are how we found out. One Météo-France sensor at Roissy was both the official Paris temperature and Polymarket's settlement source. No cryptographic signature. No real-time cross-check. Mains power, network connection, admin console accessible to staff. The trust model collapsed at every seam but until recently, no one had a financial reason to attack a thermometer. The hair dryer is the lowest-cost version of this attack. As our CEO pointed out an insider with admin access at any met agency could alter data without ever touching a sensor. Hair dryers are loud. Database queries are not. x.com/nikil511/status/204725… Weather data has stopped being just a public good. It is now the settlement layer for an economy: parametric insurance, energy contracts, agricultural payouts, emergency response, prediction markets. The hair dryer exposed a $34,000 mistake. The same architecture moves decisions a thousand times that size. This is the failure mode WeatherXM was built to remove. Every reading is signed at source by a secure element on the device. A hair dryer can still warm a sensor but it cannot forge a signature. We never settle anything important on a single station. 9,600 stations across 98 countries, in clusters and verifiable maths, never single points of trust. Every reading is cross-checked against neighbouring stations and third-party data. Anomalies get flagged or discarded by our quality of data filters (QoD). Our WiFi & Celular stations are energy autonomous, solar powered. No mains plug, super easy to deploy. Our H2 station takes it one step further, using @helium IoT / LoRaWAN operates with decentralized wireless infrastructure that the community or customers can expand on demand to cover areas that lack celular coverage. Data is on decentralized file systems @IPFS @Filecoin @AkaveCloud and QoD based rewards are blockchain merkle-trees anyone can audit. The fix is not to regulate prediction markets harder. It is to stop trusting infrastructure that was never designed for adversaries. Build the verification into the data itself and adopt decentralized, trusteless approaches in the traditional weather industry too, as it seems we are gonna need it more than ever in the comming future. The world has changed. The traditional weather data layer needs to change too!
Replying to @alvarogracia
This issue goes far beyond prediction markets. Today’s forecasting systems depend on airport weather observations, yet much of that infrastructure was never designed for adversarial settings. An insider in a meteorological organization (e.g. admin) could alter data to influence an outcome, without a hairdryer on a sensor, and probably without being detected. We need to transition to forecasting systems backed by denser, lower-cost, and more resilient observation networks. That is exactly what we’re building at @WeatherXM robust, blockchain-enabled weather stations and verifiable weather data pipelines for the next generation of forecasting infrastructure.
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WeatherXM retweeted
Replying to @alvarogracia
This issue goes far beyond prediction markets. Today’s forecasting systems depend on airport weather observations, yet much of that infrastructure was never designed for adversarial settings. An insider in a meteorological organization (e.g. admin) could alter data to influence an outcome, without a hairdryer on a sensor, and probably without being detected. We need to transition to forecasting systems backed by denser, lower-cost, and more resilient observation networks. That is exactly what we’re building at @WeatherXM robust, blockchain-enabled weather stations and verifiable weather data pipelines for the next generation of forecasting infrastructure.
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WeatherXM retweeted
Apr 22
Replying to @aaronjmars
@WeatherXM can fix this
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⚡ Day 2 on Amazon — and the response has been insane Huge thanks to everyone who already grabbed a station 🙌 Reminder: launch price is still €94.99 for the first batch Once these units are gone, price goes back up If you’re still on the fence, now’s the time 🇫🇷 amazon.fr/dp/B0FVDKCG1T 🇮🇹 amazon.it/dp/B0FVDKCG1T 🇪🇸 amazon.es/dp/B0FVDKCG1T
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WeatherXM retweeted
Building at the intersection of weather data, climate tech, agriculture, or logistics? The Autonomys x @WeatherXM Builders Program is open. 🔹 From Autonomys: Up to $10,000 in AI3 storage credits, priority technical support for Auto Drive integration, ecosystem growth support, channel visibility and amplification, and milestone-aligned mentorship. ☁️ From WeatherXM: Milestone-based services and support, access to hardware, data, and APIs, integration guidance and technical support, business development introductions, and ecosystem amplification. 🔎 Details and application: autonomys.xyz/builders
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WeatherXM Townhall today at 5PM UTC! x.com/i/spaces/1aKbdbkVRoeJX
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The thinnest moat in crypto is code. The most durable one is hardware The barrier isn't the code. It's three years of manufacturing, logistics, community trust, and devices already in the ground Software moats get disrupted. Physical infrastructure gets compounded. #DePIN
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Second consecutive #Olympics for #WeatherXM. Alpine winter is one of the harshest real-world tests for sensor hardware and our stations didn't flinch The same infrastructure serving Olympic venues serves ports, highways, and remote villages worldwide. No exceptions.
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Following tradition, WeatherXM stations deployed in every outdoor Winter Olympics 2026 venue as was the case with the Paris 2024 Olympic Games. There more than 10 stations deployed and anyone can see real time weather conditions and get hyperlocal forecasts from our apps and PRO B2B API explorer.weatherxm.com/stati… AI agents can also find our data in x402scan and I guess could use them in olympic games relevant prediction markets (polymarket, kalshi) in addition to the obvious weather markets. agent.weatherxm.com/api#/ x402scan.com/server/b081dd2a… x402scan.com/server/1284456a…
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Multiple stations in every Winter Olympics venue :-) youtu.be/mLYkvKvCnXQ?t=95
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The next wave of real-world AI demands verifiable, permanent data. Today we launch a joint Builders Program with @AutonomysNet combining WeatherXM's ground-truth data with permanent distributed storage If you're building in insurance, energy, agriculture, or AI, apply now. builders.weatherxm.com/auton… #DePIN #WeatherAI #Autonomys #WeatherXM
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✅ WIP-004 Passed: SPV Rewards Multiplier Live Feb 18 🗳️ snapshot.box/#/s:weatherxm.e… Starting Wednesday, Feb 18, WeatherXM station rewards will be weighted by Station Photo Verification (SPV) score. 📉 Stations without verified photos will see a lower rewards multiplier (0.5x on the SPV component). 📈 Verified stations can earn up to the full 1.0x multiplier. Station Owners, take action now: 1️⃣ Open the WeatherXM App 2️⃣ Select your station 3️⃣ Go to Station Settings > Start Photo Verification 4️⃣ Upload your deployment photos Let’s keep building a high-quality, verifiable weather network! 🌍🌤️

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