We launched our product today, and once the assigned manager reviews and approves it, the product should be listed within a few business days.
We have indeed been approved as an IBM Business Partner, but the final condition for joint marketing was to build a product together with @IBM.
We will be communicating with them during business days.
Thank you for your patience — please stay tuned!
If your product is truly valuable, and if you have genuinely built it with dedication for humanity, then even if it is connected to crypto, it can eventually break through every barrier and earn recognition from many great companies.
DATAHEDGE has broken through the Web3 barrier by competing with a real product — becoming one of the first projects from @solana and the broader crypto ecosystem to prove itself through product, not hype.
This week, after several weeks of ongoing discussions and negotiations, we finally achieved a positive outcome on the matters we had been working on.
We never gave up. We kept moving forward.
There were people who criticized us, but we chose not to focus on the noise. Instead, we kept working, kept building, and ultimately proved ourselves to many companies.
To our community who believed in us — thank you.
@DATAHEDGEAI is a true AI user data infrastructure built together with all of you. In many ways, you are also the owners of what we are building.
An official announcement will be made in the coming days after we finalize and consolidate the materials.
Thank you once again for being with us as we write history together.
We’re honored to announce our partnership with
@IBM 🤝@DATAHEDGEAI
As an official IBM Partner, we are building Constitutional Data using @IBMwatsonx
Together with IBM technology, we aim to create a more secure, refined, and verifiable data infrastructure for the AI era.
Constitutional Data v2, built with IBM-supported technology, will be unveiled soon.
https://t.co/FCyCE5MnJY is seeing an increasingly strong surge in new users. As an @AWS_Partners partner, we are on track to meet the listing requirements for AWS Marketplace soon, and we plan to apply for listing shortly. Once again, we would like to thank everyone in the community who helped us get this far.
@DATAHEDGEAI is working day and night to build a great product, and we are proving ourselves to the world through the evidence created by our effort and passion.
We are truly working hard. Overhyped marketing without real work means nothing. We are giving our best every single moment, one step at a time, and we are working relentlessly for https://t.co/FCyCE5MnJY without giving up.
And it took a considerable amount of time to get here. As we reveal this today, we believe that a certain level of infrastructure has now been completed. With the help of the people around us, we will now also do our best on marketing.
Truly great projects that can change the world do not come from VC boardrooms. They begin with passionate people who work hard, and then the community helps bring them to the world.
We will continue to work extremely hard for $DATA and DataHedge, and we will do our best not to disappoint the community.
The coming weekdays next week will be an important moment for us, and they will serve as proof that we have truly lived and worked hard over the past half year for that moment.
It has not even been two weeks since launch. The community and we are in the same boat, and we will continue sailing together until we reach the wider world.
I’m still building and staying focused on development.
This week, we’ve been working extremely hard. @Dallenhedera is currently in China with @DraperDragon for scheduled meetings, and @HoonChae251853 also pushing hard on the UN session presentation agreement.
It has only been one week since we publicly launched. In just one week, the platform became active, and we were able to connect and work with many companies.
We are still working hard and continuing to build.🫡🫡🫡
Here’s everything I’ve gathered about @DATAHEDGEAI one week into their launch.
DATA HEDGE is a next-generation AI data platform that allows users to voluntarily archive conversation histories from LLMs such as ChatGPT, Claude, and Gemini and transform them into secure data assets. The core pitch is simple: big AI companies already use massive amounts of user data for free. Data Hedge's approach is that if you choose to share your data, you should be able to do so safely, selectively, and get rewarded for it.
What immediately stands out is the team behind the project.
Dallen Kim is the co-founder of Cashtree, an Indonesian ad-tech and rewards platform that grew to over 10 million users. He was also involved in the creation of Dungeon & Fighter (DNF), one of the most successful online RPG franchises ever made and one of the highest-grossing online games globally.
Cashtree itself is a legitimate Web2 success story, having raised a $4 million Series A round in 2016 from investors that included Kakao Ventures and Korea Investment
Partners.
Another notable name on the team is Chae Xun, former CEO of Huobi Korea and co-founder/Joint CEO of Bluehelix Korea. Bluehelix Korea is a real joint venture within the Bluehelix/HBTC ecosystem, which has deep roots and connections to infrastructure teams originating from the Huobi ecosystem.
The team is fully doxxed and has hosted multiple live Spaces since
launch.
Despite being only a week old, Data Hedge has already secured a two-way data-sharing partnership with eKYSS and has teased three additional partnerships with U.S.-based companies.
They have also received AWS partnership support and credits, joined the Google Cloud Partner Program, and submitted an official application to become an NVIDIA partner. AWS and Google both operate large partner ecosystems that provide access to training, technical resources, credits, and go-to-market opportunities.
Landly recently earned IBM SkillsBuild Data Fundamentals credentials, further signaling an effort to build technical credibility and expertise.
The team has also hinted at building something for the Solana ecosystem
in the near future.
They secured a $200,000 investment from Bluehelix VC alongside a strategic technology collaboration. Considering the connections, infrastructure background, and network associated with the broader Bluehelix ecosystem, that relationship could prove valuable beyond the capital itself.
At the end of the day, this is a fully doxxed team with decades of experience building and scaling products across Asia, backed by real operational, gaming, ad-tech, and crypto infrastructure experience.
For now, $DATA may remain under the radar but market will reprice this sooner or later. My bet is on founders who have proven track record and decades of experience under their belt.
Today, i officially received the @IBM SkillsBuild Data Fundamentals digital credential issued through Credly.
https://t.co/BZnSyJqqsE
This is a clear step that reflects Data Hedge’s long-term direction: building a stronger foundation for AI-ready data.
@DATAHEDGEAI is also exploring how IBM’s data quality, data refinement, and enterprise data technologies can help strengthen our future data pipeline.
Better data is the foundation of better AI.
Step by step, we keep building.
Thank you, @IBM.
A large amount of user AI data is being accumulated.
Some of it is even currently being reviewed manually.
A lot of people are now coming into https://t.co/sNjCi3Dlip.
I got my eyes on a very promising project - $DATA @datahedgeai@datahedgeAi is a consent-based user data layer. Public internet data is rapidly exhausting, while high-quality human-AI interaction data remains fragmented, private, and unstructured. DateHedgeAI turns therefore LLM usage history into privacy-preserved data.
User uploads conversations from chatbots (gemini, chatgpt, claude, ..) —> sensitive information gets detected and redacted —> cleaned data gets structured and categorized —> ending up in refined records used for model training, evaluation and development.
- Ai startups gain access to authentic human feedback
- Users retain full control and getting incentives
Project is led by experienced founders.
Co-founder Dallen kim previously founded Cashtree which scaled to over 24M users. Cashtree secured 12M in funding, including a $4 million Series A backed by Kakao Ventures and Korea Investment Holdings. His expertise in large-scale user activation and data collection now powers Data Hedge’s migration of consumer engagement into Web3.
Co-founder Chae Xun also known as James Ju, brings deep Web3 credentials as former strategist of Huobi Korea and BlueHelix Korea. Data Hedge has already secured a $200,000 investment from Blue Helix VC along with strategic technology and data-sharing collaboration.
Value accrual
50% of platform revenu used for buybacks
75% of B2B revenu used for buybacks
They’re leveraging their 24M user foundation from prior ventures (@cashtreeglobal ), expanding through two-way data agreements such as with eKYSS/MyPool for education-focused interactions, and drawing on strong Korean technology networks that include ties to influential figures (former Prime Minister Han Seung-Soo).
Has great potential.
credentials checked out through linkedin & other channels.
Ball tingle feeling
What makes us optimistic about @DATAHEDGEAI is that many developers are requesting open source access, and many communities are already reaching out to participate in the platform.
This may be an even stronger signal than any partnership.
Within just a few days of launch, we already have platform users, developers showing interest, and people talking about us.
All of this is a blessing.
While you sleep, DATA HEDGE’s powerful AI agent, NOVA, works for you handling coding tasks and executing instructions in the direction you choose. •_•🫵
Meet NOVA now 👇