Now it’s where you make them.

What started as wallet pings and price alerts has evolved into a full-stack trading interface. In just a year, Telegram bots are processing $70M+ in daily volume, reshaping retail behavior, and turning chat UX into market execution layers — especially on Solana, which now powers over 70% of all bot trades.

📉 Why Now?

Solana’s block speed and low fees made it the perfect rail for frictionless micro-trading. Combine that with Telegram’s always-on virality and you get:

• No wallet extensions

• No front-ends

• Just tap → snipe → trade, all in chat.

These are no longer just “bots.” They’re scripted hot wallets with optional MEV protection, copy-trading, DCA, simulators, even cross-chain bridges.

The Big Players

🟣 Trojan (ex-UniBot)

• 2M+ users | $24B+ volume

• Solana-native sniper: DCA, limit orders, MEV filters

• ETH↔SOL bridge included

• ~1% trade fee

🟠 BONKbot

• 500K users | $14B volume

• Sub-2s fills via Jupiter

• Tailored for Solana only

• 1% flat fee

🔵 Maestro

• 600K users | 10+ chains

• Anti-rug, honeypot alerts, whale tracking

• $200/month premium or 1% tax

🟡 Banana Gun

• 600K users | $12B+ volume

• Trade simulator protects from rugs

• Copy-trading + BANANA token rewards

• 1% snipes / 0.5% manual

🟢 Drops Bot

• 700K users | 22+ chains

• Alert-first model, now upgraded with Solana trading

• Flat subscription pricing ($0–179/mo)

• Market/limit orders, TP/SL, copy-trade from Telegram alerts

⚙️ How Builders Should Think About This

The meta has shifted. What used to be a “support tool” (alerts) is now a primary UI for trading.

This unlocks new design primitives:

• Bots as wallets

• Telegram chats as terminals

• Alerts as triggers for execution

• Flat-fee vs fee-per-swap UX choices

If you’re building tooling, infra, or dashboards — the new question is:

Why build a front-end at all when your users live inside Telegram?

🧰 Under the Hood: DropsTab API

Much of this new experience is powered by backend data pipelines.

For instance, Drops Bot connects to DropsTab API for:

• Real-time token unlocks

• Wallet watcher triggers

• Price movements across 22+ chains

• Sniping/trading from filtered conditions

You can customize alerts like:

“If this wallet buys PEPE, alert me + copy-trade instantly.”

That’s not just alpha. That’s programmable execution logic.

📣 DAO Utility?

If you run a DAO:

• Use DropsBot alerts to track treasury inflows/outflows

• Build copy-trade signals from DAO wallets

• Token-gate alerts or trading privileges with your native token

• Run governance proposals for fee models (flat vs %)

This is composable infrastructure, not just “another bot.”

The Takeaway

Telegram bots are no longer fringe tools.

They’re becoming the retail layer of Web3.

Whether you’re sniping a memecoin or monitoring your treasury — the line between alerts and execution has blurred.

And that’s where the next generation of infra lies.

🧪 Try the DropsTab API

📟 Use Drops Bot on Telegram

In a market that never sleeps, what’s fair value—even mean anymore?

Crypto trading doesn’t suffer from a lack of data—it suffers from a lack of context. We track prices, volumes, inflows, outflows, sentiment, volatility, unlocks... and still get rugged by hype or miss major entries.

Why?

Because most of what we track is reactive.

VWAP Score: A Simple Signal, Rich with Meaning

DropsTab’s VWAP Radar gives you one number that reframes price action:

VWAP Score = ((Current Price – VWAP) / VWAP) × 100

It compares a token’s current price to its volume-weighted average price (VWAP) over a set timeframe.

What it tells you:

• +100 → Overheated (likely unsustainable)

• +50 to +99 → Overvalued (ride or take profit?)

• 0 → Neutral (fair value zone)

• –50 to –99 → Undervalued (watchlist it)

• –100 → Oversold (potential reversal zone)

And this isn’t per-token. It’s cross-market—you can screen all tokens in one dashboard, API call, or heatmap.

🔍 Why VWAP Score > Price Change %

Unlike price % change (which ignores trade volume), VWAP Score adds signal:

• PUMP hit +100 last week. It dumped hard after.

• BONK showed –89. It rebounded 20% in 2 days.

• EGL1? –72 on 7D but +68 on 3MO — short-term dip in long-term uptrend.

This makes it reactive enough for scalping and rich enough for macro positioning.

Use Cases for Builders & DAOs

DAO Treasury Management

Instead of time-based disbursements, what if treasuries moved on value windows?

Allocate capital when tokens score under –60, take profits above +80.

VWAP Score lets you execute with discipline, not vibes.

Trading Dashboards & Feeds

• Display VWAP Score alongside token price & RSI

• Filter tokens by undervaluation or overextension

• Build alerts: e.g. notify when token flips from – to + (VWAP crossover)

[insert chart: BONK –89 → bounce example]

[embed tweet: PUMP +100 → dump callout]

Alpha Bots & On-chain Signals

Pair VWAP Score with:

• 🧠 Wallet watchlists (e.g. smart money entering at low VWAP)

• 🔄 Unlock schedules (is price already overheated pre-unlock?)

• 💡 Narrative tracking (spot tokens lagging on hype)

Build Discord/TG bots that combine VWAP + social + price = elite sniper mode.

API-Ready. Dashboard Live.

• DropsTab API: access VWAP Score per token and timeframe

• VWAP Radar UI: scan heatmap of all tokens

• Real-time, scalable, composable into any tool or strategy

Let’s fix that.

The Real Problem: Token Unlock Data is Scattered

Tracking vesting schedules is still a mess. Price APIs (CoinGecko, CMC) don’t include unlocks. Even premium tools like Nansen or Dune don’t offer a simple way to query upcoming token unlocks across projects.

As a result, many teams try to:

• Manually parse whitepapers

• Monitor governance forums

• Scan on-chain contracts for vesting logic

This process is fragmented, slow, and rarely scalable.

A Cleaner Path: Programmatic Alerts with One API

DropsTab offers a REST API that includes real-time token unlock data — including exact dates, percentages, and recipients (e.g. team, investors, treasury).

With just a few lines of Python and the /tokenUnlocks endpoint, you can:

• Query all upcoming token unlocks

• Filter by percent of supply (e.g. alert only if >5%)

• Add price context from /coins

• Send real-time alerts to Telegram

[insert unlock alert screenshot here]

Why It Matters for DAOs

Unlock transparency isn’t just useful — it’s governance-critical:

• Treasury committees can prep for volatility

• DAO contributors can time token requests or grants

• Protocol users can better understand token emission risks

As Theoriq recently announced:

“We have removed the vesting terms from the community sale. All token allocations will be 100% unlocked at TGE.”

This kind of update should never go unnoticed. With DropsTab, your DAO tooling stack can ingest and act on this instantly.

Example Code: Alerting on Unlocks Over 5%

if percent >= 5.0:

alert = f"🚨 {coin} unlocks {percent}% of supply on {date}"

bot.send_message(chat_id=CHAT_ID, text=alert)

One API, Many Use Cases

DropsTab doesn’t stop at unlocks. It also includes:

• VC funding rounds (/fundingRounds)

• Investor wallet movements (/investors)

• Exchange listings (/cryptoActivities)

Which means your unlock bot can evolve into a full ecosystem signal feed.

Closing Thought

Markets don’t wait. Neither should your alerts.

Build a better vesting data pipeline — not with spreadsheets, but with real-time APIs that plug into your stack.

[embed tweet: @glassnode]

Explore the DropsTab API or fork the bot template to start.

Optional: Token-gate future versions of this bot guide or run a DAO bounty for new alert modules.

It’s frustrating how much of Web3 is supposedly “open” yet the data builders actually need — token unlock schedules, VC rounds, vesting progress — is scattered, paywalled, or hidden in PDFs. I experienced this first-hand while working with a DAO treasury: we couldn’t forecast unlock-driven sell pressure because the APIs we relied on didn’t even expose unlock data.

Here’s what we learned, and how we solved it.

The Problem: Blind Spots in DAO & Builder Data Stacks

Most free APIs (like CoinGecko) are great for surface-level market data — price, market cap, volume.

But DAOs making treasury decisions or builders creating dashboards need more:

• When does this token unlock? How much supply is coming online?

• Which investors are vested, and when do they exit?

• What VC rounds or private deals shaped this project?

Without answers, DAOs end up overexposed to unlock events, and dashboards feel incomplete to users.

Solution: Using the DropsTab API

We integrated the DropsTab API into our pipeline, which includes endpoints like:

• /tokenUnlocks: upcoming unlock events (% and amount)

• /fundingRounds & /investors: VC investments & ROI

• /coins, /ohlcv: market data

• /wallets & /cryptoActivities: on-chain wallets & airdrops

[insert unlock schedule chart of $XYZ token here]

For our DAO dashboard, we created modules that show:

% of supply unlocked in the next 30 days

Top investors & their estimated ROI

Visual warnings on risky unlock days

How We Designed It for the DAO

Data pipeline:

— Daily cron fetches /tokenUnlocks → flags high-risk tokens → updates Notion & dashboard.

— Weekly /fundingRounds check → enriches project due diligence sheets.

Dashboard:

— Built on Dune & internal UI

— DropsTab API feeds directly into charts & tables

— Alert bot posts unlock warnings to DAO Discord

Utility for DAOs:

— Better treasury management

— Transparent tokenomics for community

— Tools for contributors to assess proposals

Next Steps

If you’re a student, indie builder, or DAO contributor, you can join their Builders Program for free access (3+ months) — generous enough for MVPs & dashboards.

📄 API Docs: https://api-docs.dropstab.com/

🗳️ Mirror Poll

Should DAOs make unlock & VC data a core part of their treasury tools?

[ ] Yes — critical for risk management

[ ] No — price & volume are enough

[ ] Unsure — need to see examples

[Collect this post] to support more open data tools in Web3.

Market Data and Charts

The API’s coins endpoints allow DAOs to fetch current and historical price data. You can get a coin’s latest market stats or full price history by calling /api/v1/coins and /coins/history/chart-by-timeframe/{slug}.

For instance, a DAO dashboard can retrieve hourly OHLCV data for Bitcoin (“slug=bitcoin”) over a date range and plot it. This data is pre-aggregated, so you don’t need to scrape exchanges yourself. DropsTab even documents sample calls (curl/Python) to build these charts easily.\

Example: Calling /coins/history/chart-by-interval/bitcoin?interval=hour&from=2025-06-01T00:00:00&to=2025-06-20T00:00:00 returns Bitcoin’s hourly price in June, ready for charting.

Tokenomics Insights (Unlocks & Vesting)

Beyond price charts, DropsTab exposes tokenomics endpoints. The /tokenUnlocks routes deliver vesting schedules for project tokens.

• /api/v1/tokenUnlocks: gives an overview of all tracked tokens’ unlock data (how many coins are locked/unlocked, upcoming and past releases).

• /api/v1/tokenUnlocks/{coinSlug}: returns a detailed vesting timeline for one token – each cliff date and amount.

• /api/v1/tokenUnlocks/chart/{coinSlug}: provides time-series data (cumulative unlocked supply) for graphing vesting curves.

This is powerful for DAOs with vested tokens. For example, a DAO treasury might call /tokenUnlocks/{tokenSlug} and then chart the “unlockSchedule” array to anticipate supply changes. (Placeholder for visual: [insert token unlock schedule chart]) On the backend, DropsTab compiles vesting data from team announcements and whitepapers, so you don’t have to manually track each release. This solves a common pain point in token governance: knowing exactly when large token inflations will occur.

Funding Rounds and Investors

DropsTab also tracks project funding and investor data. The /fundingRounds endpoints list all known crypto fundraising events. Each entry includes date, amount, round type, and participating VCs. For example, you can query all recent funding rounds involving a specific project or investor. There’s also an /investors endpoint profiling top VCs (total investments, ROI, etc.). This allows DAOs to see who’s backing projects of interest. (Placeholder: [insert funding rounds infographic]) The data comes from public announcements (press releases, news) and is continuously updated.

Integration and Workflow

Integrating the DropsTab API is straightforward. All endpoints are HTTP GET and require only a header with your API key. For example, in Python:

import requests

headers = {"Authorization": "Bearer YOUR_KEY"}

res = requests.get("https://public-api.dropstab.com/api/v1/coins/history/chart-by-timeframe/ethereum", headers=headers)

data = res.json()  # Ethereum's price history

Similarly, fetching unlocks:

curl -H "Authorization: Bearer YOUR_KEY" \

"https://public-api.dropstab.com/api/v1/tokenUnlocks/BLOCK"

returns a JSON with the token “BLOCK”’s vesting schedule and locked vs unlocked supply. Each endpoint supports query parameters for filtering and pagination, so you can narrow down by coin, date, or sort order. The JSON schemas are documented on DropsTab’s API docs, and sample snippets (shell, Python, etc.) are provided to help developers.

Use Cases and DAO Utility

With DropsTab, a DAO can unify disparate data into one dashboard or tool. For example, you might build a treasury analytics panel that shows a token’s live price chart, its upcoming unlock dates, and latest funding news side-by-side. The blog notes several use cases: portfolio dashboards alerting on big unlock events, bots reacting to listing news, and research tools profiling projects’ funding history. Indeed, the API serves as a “one-stop” for combining on-chain and off-chain signals. This means your DAO can make data-driven decisions (e.g. when to sell or hold a token) without juggling multiple data sources.

Mirror Poll: How important are token unlock schedules for your DAO’s planning?

By using DropsTab’s integrated endpoints, DAOs and builders save time on data collection and gain richer analytics. The API brings together CoinGecko-like pricing data and Nansen-like tokenomics under one roof. Explore the DropsTab API docs for more and consider plugging this data directly into your DAO’s governance dashboards or treasury trackers.