@WeatherXM
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Community-powered weather network, that rewards weather station owners and provides accurate weather services to weather-sensitive industries.
Own Weather, Earn Rewards
Joined April 2017
- Tweets2.1K
- Following142
- Followers20.8K
- Likes2.4K
AI is blind without physical ground truth.
@a16z’s $1.1B Machine Age Fund calls for efficient edge devices linking AI to the world.
WeatherXM builds the sensing layer: 9,500+ stations. D2 adds LoRa mesh when WiFi, Cellular are not there.
D2:
crowdsupply.com/weatherxm/we…
a16z:
nitter.cf/a16z/status/2093324635…
AI is hitting the physical reality wall. Models can reason, but they cannot sense microclimates, grid strain, or wildfires without ground-truth physical machines.
We are building the sensor layer for the Machine Age.
WeatherXM D2 Mesh is coming soon on @crowd_supply
crowdsupply.com/weatherxm/we…
Solar-powered, full atmospheric sensing (wind, gust, rain, solar radiation, temperature, humidy, pressure), multi-hop off-grid LoRa mesh capable, to deploy in areas without WiFi or Cellular coverage. #meshtastic #meshcore
WeatherXM retweeted
ClawQueue is our open-source take in @WeatherXM GitHub-native queues, reviews and artifacts; company workflows; an OKF-structured company Super Wiki exposed over MCP; and a personal squad of persistent agents for every employee, each with distinct roles, personalities and memory.
WeatherXM retweeted
AI agents are becoming economic actors. They discover services, negotiate, pay, execute, and settle through open networks. Identity and reputation rails are emerging through standards like ERC-8004. Payment rails are emerging through x402. But the agent economy is missing a critical layer:
Trusted physical-world evidence.
Before an agent can route a shipment, dispatch energy, price insurance, settle a prediction market, trigger a credit covenant, or execute a climate-linked contract, it needs to know: What happened? Where? When? Who measured it? How fresh is it? How reliable is it? Is confidence high enough for this action?
@WeatherXM has turned decentralized environmental telemetry into machine-readable evidence bundles: signed observations, station identity, location, timestamp, freshness, quality score, nearby-station agreement, historical reputation, confidence level, and settlement context.
The broader DePIN ecosystem is proof-carrying spatial intelligence for the cybernetic economy.
But the deeper problem is that trustworthy physical-world data does not appear automatically. It requires human coordination: hardware must be deployed in the right places, by credible local operators, with the right incentives, verification, maintenance, and logistics. That is where WeatherXM's targeted rollouts experience, in fundraising campaigns and human coordination for hardware network expansion, becomes strategically important.
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. 🇬🇷
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…
🤖 Made with AI
WeatherXM retweeted
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 nitter.cf/jiaping_vc
He sends fake NDA google docs that need to install stuff on local machines :-/
WeatherXM retweeted
We're excited to share the speaker lineup for Blockchain and Trust Technologies, our side event at Panathēnea 2026, hosted together with @poddotnetwork.
WeatherXM retweeted
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…
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
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.
nitter.cf/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!
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.
WeatherXM retweeted
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.
⚡ 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
🚀 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
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
WeatherXM Townhall today at 5PM UTC!
nitter.cf/i/spaces/1aKbdbkVRoeJX