Ten Questions for a Bitget Researcher: 40x Returns, Building the Industry's First PEPE Dashboard, Coin Hunting Insights, and a Day in the Life of a Research Analyst
TechFlow Selected TechFlow Selected
Ten Questions for a Bitget Researcher: 40x Returns, Building the Industry's First PEPE Dashboard, Coin Hunting Insights, and a Day in the Life of a Research Analyst
Any token has a time and traffic window.
Navigating Web3 tides with focused insightsAuthor: TechFlow
Introduction
It has gradually become an industry trend for CEXs to establish their own research institutes and build proprietary investment research teams. At its core, competition in research is ultimately a competition for talent.
Strong talent reserves and in-house research—especially deeper analysis of the on-chain "dark forest"—are essential for identifying high-potential assets early. This capability is critical both for guiding crypto investors’ decisions and for shaping a platform’s own listing and secondary-market strategies.
Beyond independent analysts online, just how sophisticated are the research leaders at CEXs?
In this article, we sit down with Jack, Bitget’s Chief On-Chain Analyst, for an in-depth conversation about real-world crypto research work.
An OG who earned his first million through GameFi, achieved over 40x returns on PEPE and other meme coins, pioneered the first PEPE on-chain data dashboard, and built structured DEX data dashboards during Base chain's early obscurity, Jack offers a market perspective that may differ significantly from typical readers.
We’re also curious: What’s it like being a researcher at Bitget? How does Jack view the meme coin craze, and what wealth-generating insights can he share?
TechFlow: Hi Jack, could you briefly introduce yourself and share how you fell into the Web3 rabbit hole?
Jack:
I originally came from a technical background, working in data development and analytics at a Web2 financial software company.
My entry into crypto was accidental. A friend told me I could mine ETH using my GPU, so I started mining with idle home equipment—and the returns were solid. As my ETH holdings grew, around 2021 I began dabbling in secondary markets. That period coincided with the "zoo season" and the GameFi wave, which became my gateway to initial profits.
So initially, I saw opportunity and stepped in. I gradually transitioned from Web2 to Web3, accumulating experience along the way. Looking back, it’s been quite a journey.
TechFlow: How did you earn your first fortune? Any public “achievements” in this bull market?
Jack:
My first fortune came from the last GameFi cycle.
There was a game project called RACA Meta Beasts—I invested less than $1,000. It surged shortly after, generating over 1 million RMB in profit within half a month.
But honestly, I didn’t fully understand the project or mechanics back then. Often, I’d just blindly jump into any address. Sometimes I caught 10x or even 100x gems by luck—but due to insufficient understanding, I later lost profits by recklessly chasing more (laughs).
Now, our research logic has evolved significantly—we’ll discuss that later.
From a results standpoint, BOME and PEPE in this cycle—if we calculate theoretical gains from when I first spotted them to their peaks—averaged 35–40x returns. While you rarely capture every bit of the upside, a systematic analytical approach allows you to secure your slice of the profit during the surge.
TechFlow: Did your Web2 data analytics experience help achieve these returns? How does one become a qualified Web3 researcher?
Jack: The biggest difference between Web2 and Web3 data analytics isn’t the data itself—it’s the business context.
Web3 data is straightforward—it’s fundamentally about “money.” So your analysis only needs to focus on three questions:
First, where is the money? Second, where is the money flowing? Third, who is most likely making money?
Each of these questions requires different analytical tools and approaches. They don’t have much overlap with Web2 analytics. Instead, what matters is understanding the underlying business logic.
For example, when analyzing a Uniswap contract, you need to trace fund flows, understand what each transaction implies, and recognize the on-chain data patterns associated with those actions. Only then can you infer the intentions behind wallet behaviors and support your trading decisions.
Overall, combining Web2 data skills with deep Web3 business understanding is key—then apply real data analysis.
TechFlow: How do you manage to detect and identify these data signals earlier than others? As the first person to build a PEPE on-chain data dashboard, what tips can you share?
Jack:
Spotting hot spot assets always starts with discovery and identification.
I believe early detection operates across two dimensions: on-chain and off-chain.
On-chain: Every investment leaves a trace. More importantly, short-term dynamics matter—we call this a “window.” For instance, a trending asset typically gets its early distribution from influential people or events—either backed by strong teams or large capital.
Take a good Solana project as an example—the initial liquidity pool might exceed $1M. That kind of volume clearly indicates backing by serious funds.
When such a pool is created, you must immediately investigate. You’ll often see many high-net-worth addresses continuously buying in during the first blocks. Within the first half hour, you can already detect unusual on-chain activity.
Alternatively, a project might lack massive funding but possess strong resources—like a large community with high consensus, or excellent marketing channels. For example, small alpha groups sharing insider info.
Therefore, on-chain data is fairer, but demands strong analytical capabilities and alert systems. Off-chain intelligence, however, tests your ability to aggregate information and access core influencer circles.
TechFlow: In what ways does your research add value to an exchange like Bitget?
Jack:
For a CEX running spot trading, several core challenges exist.
First, users must be able to find the asset here. Second, the trading options should be “high quality” enough to generate wealth effects. Only then can you attract more users. Our early-stage research helps us detect rising assets immediately, allowing the exchange to act fast and initiate listings.
Every token has a time and traffic window. In a fiercely competitive market, capturing users and assets during this brief window drives growth in spot trading—that’s the value of our research.
Additionally, we publish dedicated “Wealth Daily Reports” tracking daily market trends and developments, offering useful references for crypto investors.
TechFlow: How did you connect with Bitget? We’re also curious—what does a “typical day” look like for an analyst at an exchange?
Jack:
It was quite serendipitous. I had built on-chain dashboards for PEPE and other trending assets, which gained some attention in the industry.
Team members from Bitget reached out, asking if I’d be interested in joining as a data researcher. After talking, I realized something striking: the Bitget team feels closer to Web3. Everyone deeply understands the space and actively follows daily events and movements.
For example, there’s a famous Ethereum MEV bot called JaredfromSubway. My colleagues even dug into how the name might have come from the creator’s sudden inspiration after eating at Subway—which made me realize they genuinely find this industry fascinating and fun.
So, being surrounded by like-minded people passionate about the industry opens up more opportunities.
As for a “typical day,” it can be summarized in three areas:
First, spot trading operations: discovering and vetting quality assets. Once we identify promising projects, we conduct thorough evaluations—ensuring solid fundamentals, team credibility, and overall quality—so users can profit from high-quality opportunities faster and more comprehensively.
Second, supporting business strategy: internally, whether it’s product launches, regional campaigns, or growth initiatives, if teams need project insights or support, our research team steps in to assist.
Third, brand content output: we analyze wealth-generating opportunities daily, produce reports on market trends and competitor moves, and regularly publish insights on topics the industry and users care about.
That’s essentially a researcher’s daily routine.
TechFlow: What sets working as a researcher at an exchange apart from being an independent researcher or KOL online?
Jack:
One major advantage is broader information sources.
CEX listing managers have extensive networks and receive promising project referrals. They also have access to VC-backed high-quality projects, giving them an informational edge at earlier stages.
Moreover, exchanges have their own operational logic and judgment. Knowing whether a token can get listed or has potential creates additional informational advantages. For example, you get a clearer sense within a CEX of what valuation a certain asset might reach post-listing.
Each platform leverages unique resources to boost hit rates, creating information and analytical edges—giving them an advantage over independent researchers lacking such access.
TechFlow: What’s your take on those “perpetual profit gurus” constantly shilling coins? Their win rate seems remarkably high.
Jack:
I usually treat shill volume as one metric for gauging market sentiment. Two key elements drive a successful project launch: token distribution and traffic distribution. Token distribution determines the chip structure, crucial for market-making later. Traffic distribution directly impacts user and capital inflow—both indispensable in project operations.
Since most players are here to make money, the market rewards “perpetual profit gurus” because it’s an effective way to attract attention. For many, their profit model is traffic monetization—not actual trading gains. So I use the frequency of shills as an indicator of sentiment heat.
TechFlow: Why do you think CEXs are now competing fiercely over “research institutes”? It seems to have become standard practice. Where does Bitget stand out?
Jack:
This trend reflects companies diving deeper into their core businesses.
During a bull market, well-run spot and derivatives businesses can generate substantial revenue for an exchange. To optimize this, dedicated teams must be formed to monitor the market closely. These individuals need deep knowledge of the entire industry, the company, and competitors to refine operations. So yes, this trend was predictable—it’s strategically vital at the corporate level.
As for our strengths, I’d say the primary one is Bitget’s comprehensive research team. Everyone is a seasoned expert in their domain, bringing strong industry experience and individual capabilities, which together create powerful synergy and output.
Thanks to this team-based strength, whenever a major industry event occurs, we can quickly grasp its implications and motivations, and decide whether to follow or adopt accordingly.
TechFlow: For regular users, what’s your view on the meme coin frenzy? And what actionable insights can you offer to help them succeed?
Jack:
First, markets always seek speculative targets. Compared to mainstream projects, memecoins are simpler:
They don’t require complex narratives or long development cycles involving fundraising, team building, product development, and token launches. For memecoins, all you need is capital movement and a compelling narrative—making them low-cost and extremely fast to launch.
Most market participants simply chase anything with wealth-generating potential, fueling the memecoin craze.
Ultimately, it’s driven by demand. Memecoins are arguably the most native expression of the fast-paced crypto world. When ChatGPT goes viral, and Musk says he’ll build Grok, instantly there’s a Grok-themed memecoin to satisfy speculative appetite.
Events, trends, internet memes, emojis—any concept with basic traction and community resonance can serve as the narrative foundation for a new memecoin. When liquidity is abundant and FOMO runs high, memecoin waves naturally emerge.
From a secondary-market perspective, when evaluating a new project, start by understanding its core narrative and token distribution logic.
The core narrative answers whether the project has sustainable hype potential in the current market. For example, if people track keywords in Musk’s tweets, then memecoins based on those words inherit the celebrity traffic effect. Once term A appears, term B follows as a temporary speculative vehicle.
Right now, with ChatGPT-5 expected soon and AI sector rotation underway, if you spot a project meeting these criteria early, you’re likely to catch the wave. Not guaranteed, but you can assess its momentum and expect sustained热度 for a while.
After judging the core trend, evaluate the token distribution logic.
Distribution logic determines how large a user base the project can mobilize and how exchanges will perceive it.
First, assess whether the chip structure is healthy. For instance, if a token airdrops to phone/NFT holders, recognize this as a deliberate distribution tactic—to leverage existing users for wider reach. If recipients include high-net-worth, market-recognized players, the project is more likely to gain resource support and succeed.
Conversely, if holdings are highly concentrated—with EOA addresses (real people, not contracts) holding 20–30% among the top 10 wallets—the risk of a dump is very high.
Beyond narrative and distribution, here are key points for achieving meaningful returns in secondary investments, especially with memecoins:
First, build your own “smart money” watchlist. While the term is overused, publicly known smart money offers no alpha. You need to curate your own list. Some aren’t KOLs but may publicly discuss a coin right before launch—indicating possible insider knowledge. Track them consistently.
Second, always prioritize risk. Check contract security: Is it a貔貅 (Píxiū) scam? Are trading taxes adjustable? Can balances be modified? Conduct your own due diligence, especially when excitement tempts you to rush in. Also consider chip health—watch for dump risks.
Third, define your milestone exit points. Knowing when to sell is hard to standardize—you need personal benchmarks. Sell part of your position after positive news, or upon exchange listing.
Finally, from recent trends, I believe the AI sector remains relatively strong, showing clear rotation patterns. Individual memecoins carry higher risk, so I share fewer picks personally. Interested readers can follow our daily Wealth Sector Report from Bitget Research, which provides valuable insights for decision-making.
The Era of Super Individuals: Mutual Empowerment Between Talent and Platform
At the end of this interview, we feel even more strongly that Web3 super individuals like Jack possess immense potential.
Exceptional individuals can unleash tremendous momentum, achieving success in their fields. Yet even super talents need organizational support—platforms provide greater reach, amplify impact, and fulfill deeper ambitions. Conversely, leading organizations must respect and empower such individuals, placing them where they can thrive, achieving mutual success between institutional goals and personal aspirations.
In crypto research, talent and organizations are like legendary steeds and their masters—each enabling the other.
Top-tier CEXs like Bitget are undergoing a kind of physical “sublimation”: absorbing heat from the surroundings, drawing top talent into their ranks, and building momentum for spotting high-quality assets.
Meanwhile, outstanding crypto professionals are experiencing “deposition”—releasing heat outward, illuminating the path for every explorer navigating the dark forest of crypto with knowledge and insight.
Join TechFlow official community to stay tuned
Telegram:https://t.me/TechFlowDaily
X (Twitter):https://x.com/TechFlowPost
X (Twitter) EN:https://x.com/BlockFlow_News
深潮TechFlow
