BULK Exchange
· bulk.trade
Perpetuals DEX: app, mainnet/testnet and audit scope. A full TCCC AI report example from 6 September 2026.
Assess crypto and web3 projects faster before using them or putting money in
TCCC AI gathers key project signals into one structured report: risks, team, tokenomics, code, community, conclusion, and documentation verification when available.
It does not replace DYOR. It helps you understand faster what deserves attention first and whether the project is worth deeper checking. Important conclusions should still be verified against source materials.
Audit price — Crypto payment available.
⏱ Faster than doing it manually
No need to spend hours across scattered sites, social accounts, tokenomics pages, and repositories.
🧩 Not one signal, but multiple layers
The report looks at the project across several categories instead of only social media, only tokenomics, or only an audit.
🚩 Focus on risks and conclusions
Helps you spot red flags faster and decide whether to use the project, check it further, or simply pass on it.
💎 Pay in crypto
You can pay for the audit in crypto and move straight to analysis.
How to research crypto projects
Full examples of completed audits
A selection of existing public reports: BULK from September and two RWA cases from July 2026. These are historical examples, not new research or current recommendations. The full reports are in Russian.
Ondo Finance / ONDO
· ondo.finance
An RWA platform and its governance token are different subjects. A full TCCC AI report example from 16 July 2026.
xStocks
· xstocks.fi
Tokenized equities: platform, backing and limitations. A full TCCC AI report example from 16 July 2026.
What you get in the report
Project and team
Project overview, team, concept, and core context.
Token and investment layer
Coin, tokenomics, investment aspects, and token value if the project is available on ValueVerse.
Code, development, audits
Development activity, code openness, technical signals, and audits when available.
Risks, conclusions, verification
The result is a clear report with key risks, important signals, a bottom-line conclusion, and documentation verification when it can be checked.
When this is especially useful
A protocol from DefiLlama
You found a new DeFi protocol and want to understand faster whether it is worth using or considering for investment.
A service before using it
You are looking at a bridge, wallet, exchange, lending app, or another service and do not want to miss important risks.
A project before a possible investment
You want to understand whether the project deserves closer attention and which signals should be checked first.
Not sure what to check?
Pick a project from DefiLlama, a new protocol from Twitter, a bridge before using it, or a token before investing.
A website or project URL is enough. If there is a token, you can add it separately.
Why not just do it manually or use a regular AI chat
Manual research is possible
Yes, but it takes time: data is scattered and important signals are easy to miss. TCCC AI helps you gather and structure the picture faster.
This is not just one generic ChatGPT answer
The goal is not a broad reply but a structured project review across several categories in report form.
The analysis does not promise to catch everything
But a multi-layered review lowers the chance of missing an important red flag and helps you decide faster.
Why you can trust the result
Founder / analysis author: @denis_skripnik
Public breakdowns and notes are published in Denis's Telegram and X. At this stage, founder-led distribution is more honest than pretending there is a separate project newsroom.
Example reports
BULK Exchange, Ondo Finance / ONDO and xStocks — full reports with dates and scope notes
Where to follow new breakdowns
Telegram: @blind_dev · X: @denis_skripnik
The report quickly gathers available signals at the time of analysis, but it does not promise perfect completeness or permanent freshness.
How TCCC AI analyzes a project
This is project due diligence based on public sources, not a smart-contract security audit, penetration test or investment recommendation. Reviewing code and third-party audits does not establish the absence of vulnerabilities.
Sources
Project website, documentation, public profiles, repositories, public metrics, and other available materials.
Categories
Team, product, tokenomics, code, security, community, competitors, risks, and the final conclusion.
Where AI helps
AI speeds up fact gathering and structuring, compares signals, and helps avoid missing weak spots.
Limits
Private data, recent changes, and hidden risks may be unavailable. Strong conclusions should still be checked against sources.
How it works
1️⃣
Log in or register
Enter your account to start an audit.
2️⃣
Choose a project
Enter the site or project URL you want to check.
3️⃣
Pay for the audit
You can pay in crypto, then the analysis starts.
4️⃣
Get a ready structured report
The report gives you risks, key signals, and a bottom-line conclusion so you can decide faster whether the project is worth deeper checking.
What to do after the report
Save the report
It can be useful later if the project changes its terms, tokenomics, or documentation.
Check a similar project
Comparing two or three reports often shows faster where the risk is higher.
Subscribe for risk examples
The channel helps you notice common weak spots before they matter for your own decision.
Come back before the next decision
Before using another service or making an investment decision, it is better to refresh the picture.