
The Review Programme that proved Krypteia's concept
Krypteia came to us for beta testers, not hype. An AMA and a Review Programme put their pre-launch app in front of real traders, who returned 40 structured reviews at 4.0 out of 5, confirming the product's core premise and naming the things to fix before launch.
July 2026
- The ask
Krypteia needed testers, not an audience
Krypteia is a decision intelligence app for crypto traders: instead of pushing signals, it tracks what you planned, how you reacted, and what the market was doing at the time. They came to us before launch with an app in beta on iOS and Android, and a problem that isn't the usual one. There was no token to trade and no chart to move. What they needed was people who would install a beta, use it properly, and tell them the truth about it. That made this a new format for us, and a riskier one: an audience can be impressed, but testers have to actually do the work.
- What we did
An AMA to explain it, then a Review Programme to test it
A decision intelligence app is a harder sell than a token, because nobody can review a product they haven't understood. So we split it: explain it first, then test it.
- Hosted a live AMA with the Krypteia team, walking the community through the app, its AI assistant, and how it's meant to change the way a trade gets made. This was the part that had to land first.
- Ran a Review Programme through Chad Trust, where members installed the beta on iOS and Android, worked through a structured set of questions, and published their own reviews.
- Airdropped a $1,000 reward pool as Krypteia-branded chests inside Giga Rewards, so testers were paid for the work in something that landed where they already collect rewards.

The Krypteia chest, carrying the $1,000 airdrop to the testers who reviewed the app. - The outcome
40 reviews, 4.0 out of 5, and a to-do list
The community published 40 structured reviews, averaging 4.0 out of 5. The reviews were positive but not uncritical, and the criticism is the part worth reading: testers wanted better charts, real time prices, less manual trade entry, smoother Android, and clearer reasoning behind the AI insights. They also found bugs, including an assistant that returned blank answers. That is what a beta test is supposed to produce. We distilled the reviews into 10 key takeaways and a prioritised list of fixes, and handed both to the team. Underneath it, the thing Krypteia most needed to know came back positive: testers reported that the behavioural insights were accurate, which is the premise the whole product rests on.
4.0 / 5Average beta rating40Structured beta reviews10Key takeaways delivered$1,000Rewards distributed - In summary
Point a community at a product and it will tell you the truth
Krypteia got two things out of this that a marketing campaign can't give you. The first was proof: their core idea, that making trading behaviour visible is useful, was confirmed by people who had no reason to be kind about it. The second was a prioritised list of what to fix, from people who had actually used the app. Krypteia shipped fixes for the assistant bugs during the programme, which is the clearest evidence the feedback was worth having.
What Krypteia said afterwards
Behavioral Insights seems to be accurate, which was very important for us because our main focus was to make behavior visible. With this, we were able to confirm proof of concept.
The partnership went well. Especially the AMA part. Since it is a new category for crypto, it was important that people would get the idea, as I understood majority actually did.
We are aware there were many improvement opportunities. Some of them would definitely take some time. But at least it was extremely useful for us to navigate.
Would definitely seek a round 2 (maybe a trading or insights contest) with GigaChad.
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