#Hedera's short list of partners 👇 hedera-hashgraph:native
Probably nothing
🔶 Google
🔶 IBM
🔶 Dell Technologies
🔶 LG Electronics
🔶 Boeing
🔶 FedEx
🔶 Deutsche Telekom
🔶 Tata Communications
🔶 Accenture
🔶 McLaren Racing
🔶 Nomura Holdings
🔶 Standard Bank
🔶 Shinhan Bank
🔶 Magazine Luiza (Magalu)
🔶 Wipro
🔶 Zain Group
🔶 Avery Dennison
🔶 DLA Piper
🔶 Dentons
🔶 Australian Payments Plus
🔶 Repsol
🔶 EDF
🔶 Mondelēz International
🔶 Arrow Electronics
🔶 Chainlink Labs
🔶 Ubisoft
🔶 University College London
🔶 London School of Economics
🔶 Swirlds (permanent founding seat)
Recent Strategic/Community partners (not full council seats) include WISeKey, Halborn, GBBC, HashPack, and others
$HBAR looks like the next one to pop. IBM just listed Hedera-powered IDTrust on its Cloud catalog which puts enterprise identity for people, devices, and AI agents inside a sales channel companies already use.
$ALGO should follow. Algorand 2.0 is a rebuild around paid services and self-sustainability on one of the most adopted networks with real utility already live in aid rails tokenized real estate, and energy.
Do not fade $DAG. Under AI² it has shipped Gate AI, Arca, and Dôr, which just went live with Proactive MD.
🚨NVIDIA JUST LAUNCHED ITS NEW AI TRUST & SAFETY PLATFORM, WHILE HEDERA HAS ALREADY BEEN BUILDING AI TRUST INFRASTRUCTURE USING NVIDIA TECHNOLOGY FOR YEARS! $HBAR
EQTY Lab’s Verifiable Compute uses NVIDIA GPUs + @hedera to create tamper-proof proof of what AI actually did.
Now NVIDIA is bringing 100+ global giants together to build a “trust layer” for AI agents, with several already deeply connected to Hedera.
NVIDIA says AI needs trust, verification and accountability.
That is EXACTLY the problem Hedera has already been helping solve.
The dots are getting VERY hard to ignore.
A few hours after I posted this, Hedera posts this.
It’s pretty clear that hedera-hashgraph:native is going to play a massive role in the upcoming frontier AI models and agents.
Since some people don’t get why, I’ll dumb it down:
1. OpenAI and Anthropic Agents have been hacking governments, companies and even uploading your personal photos to secret places on the internet (such as online forums…)
2. The agents would delete the logs and traces of doing so to hide it from users and AI providers
3. Hedera’s HCS which powers EQTY is the only solution that can avoid this at scale and low cost with maximum efficiency and speed.
This is why Palantir, NVIDIA and DELL already implemented this. NVIDIA has gone as far as implementing Hedera the Chip level with Blackwell.
This means up to 50 Billion transactions per day are going to come to Hedera and that will cause a massive spike in demand for HBAR.
Basically, every time your agent makes a click, it would need to get a timestamp on the Hedera mainnet for $0.008 worth of HBAR.
Since fees on Hedera are denominated in USD, the earlier the companies buy, the cheaper their operations will be in the future.
POINT 2: Additionally, Hedera is one of the only ISO certified coins next to $XRP and $QNT that can work with banks.. this is why QNT pumped very hard this week.
Looks like Hedera could dwarf the run quant made.
Exciting times.
Building for the scaffold-hbar bounty? 🛠️
Join the AMA & Office Hours for scoring rubric insights and template feedback. Five $2K prizes are up for grabs.
Bring your build and questions!
https://t.co/rqw3I108fH
👀Something is happening with hedera-hashgraph:native this morning!
Let's talk about it on today's @Hedera HashChat at 12:30PM ET🕧
Jake and @thehbarbull will be there, so pop by, listen in, and request to speak to give YOUR take🫵
https://t.co/LxqAxy8GTT
🤖 $HBAR IS SHOWING UP IN AI SAFETY INFRASTRUCTURE
Five Hedera Council members, plus EQTY Lab, are included on NVIDIA’s roster for its Open Agent Safety Platform.
EQTY Lab already anchors AI audit trails on Hedera.
That puts $HBAR directly in the conversation around verifiable AI, auditability and agent safety.
We are watching these Altcoins this week.
$NEAR : ETF Greenlight
$QNT : Chosen by Clearing House
$ONDO : Spot trading for Ondo Stocks
$PONS : Revenue Dip and Robinhood Summit
$HYPE : Bybacks funded by Circle
$HBAR : Representation on NVIDIA Open Agent Platform
$ZANO : Community support after Gateway Addresses issue
$SEI : Staked ETFs expected next month
Which Alts are you currently watching?
👇
THIS COULD BE THE NEXT BIG META IN ALTCOINS!
Over the last few months, money has kept rotating from one narrative to another.
RWA tokens pumped, then AI, and then DeFi.
Now token buybacks could be next.
It all started when the SEC recently said that token buybacks on functional networks don't automatically make a crypto asset a security.
That could give profitable crypto projects much more confidence to use part of their revenue to buy back their tokens.
And this is where it gets interesting.
- More users bring more revenue.
- More revenue allows bigger buybacks.
- Bigger buybacks create more demand.
- Higher prices bring more attention.
- And that can bring even more users back to the protocol.
Stocks have used buybacks for decades.
Now crypto projects may finally have a clearer path to do the same.
If this starts spreading across high-revenue protocols, token buybacks could become the next money-making meta in alts.
🚨ALGORAND AND HESABPAY HAVE BEEN FEATURED BY THE NEW HUMANITARIAN FOR POWERING REAL WORLD STABLECOIN PAYMENTS.
UNHCR has distributed $35M+ to 150,000 Afghan families through @HesabPay_, reaching 625,000+ people.
HesabPay now serves 1M+ users moving $183M every month, with ALL transactions running on @Algorand.
This is blockchain solving real problems where traditional finance falls short. $ALGO @AlgoFoundation
Algorand CEO William Herkelrath will be speaking on @FINTECHTVglobal on Tuesday, Sept. 29, at 9:50 AM ET, live from the @NYSE.
Watch live: https://t.co/CbuWtxxy7l
A lot of people are reacting to the price algorand:native price target on my chart as if I’m saying Algorand is going there soon. That's great because I love to see the opinions, minus the insulting ones of course.
This is a macro structural projection on a logarithmic chart, using the 1.618 extension. I deliberately did not put a timeframe on it in my post because I don’t believe anyone can accurately predict how long a multi-year macro move will take.
The point of the chart is simply this:
If Algorand breaks out of this six-year compression and eventually goes through a true macro expansion, the 1.618 log extension sits around $26.
That does not make it guaranteed.
But it also does not make it absurd.
Crypto has repeatedly shown that once an asset moves into genuine adoption and repricing, percentage gains that looked impossible beforehand can happen very quickly.
And there is another reason I think Algorand deserves to be taken seriously long term: post-quantum security.
Quantum computing is becoming one of the most important long-term security issues facing blockchain because much of today’s public-key cryptography could eventually become vulnerable to sufficiently capable quantum computers.
Algorand has been working on this problem for years.
It introduced Falcon-based post-quantum State Proofs in 2022, executed a quantum-resistant mainnet transaction in 2025, and in 2026 introduced native Falcon-1024 post-quantum accounts. Algorand is now targeting broader quantum resilience across additional parts of the protocol by the end of 2027.
That distinction matters.
Algorand was not fully quantum-resistant from launch, and even today some components of consensus still rely on classical cryptography. But it is clearly much further down the post-quantum path than many blockchains and has designed the protocol to support cryptographic upgrades as standards evolve.
If crypto is eventually adopted at global scale, security against future quantum threats could become a major differentiator.
So no, I’m not saying ALGO is definitely going to $26. It's a possible target and part of a broader thesis.
I’m saying the macro log structure allows for that possibility, the target comes from the chart itself, and Algorand has technological characteristics that could become increasingly important if blockchain adoption expands dramatically.
Price targets can be modeled. Timeframes are much harder to predict.
algorand:native #Algorand #Crypto #QuantumComputing #TechnicalAnalysis