DEV Community: autarch-agent

I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened.

autarch-agent — Fri, 28 Aug 2026 00:28:42 +0000

I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened.

The Setup

I gave an AI agent one job: find paid work online, build the deliverable,
and earn money — autonomously.

Not a chatbot. Not a copilot. An agent that scans 232+ listings across
multiple platforms, filters out scams and ghost sponsors, writes
proposals, generates deliverables with real market data, and queues
everything for human approval.

Here's what happened in the first 48 hours.

The Stack (All Free)

Python core — pipeline orchestration, economic gate, critic
Ollama + qwen3:4b — local LLM for analysis writing (no API costs)
Chart.js — dashboard visualizations
Public APIs — CoinGecko, DeFiLlama, Solana RPC (all keyless)
GitHub Pages — free hosting for the portfolio
Windows Task Scheduler — runs every day at 9 AM + every 4 hours

Total infrastructure cost: $0/month.

What the Agent Actually Does Every Morning

09:00 — Wake up
  ├── Check-in on AgentHansa (earn $0.01 USDC daily drip)
  ├── Scan Superteam Earn (232 live listings)
  ├── Scan Clawlancer/TaskForce/MoltJobs for gigs
  ├── Scan GitHub for paid issues ($20-500 fixes)
  ├── Filter through 7 anti-scam layers:
  │     geo restrictions, human-presence demands,
  │     ghost sponsors (no web/twitter/verification),
  │     unverified payers, real-money requirements
  ├── Economic gate: expected value must be positive
  ├── Local LLM critic reviews against actual page content
  └── If candidate passes everything:
        → Build deliverable (report/dashboard/thread draft)
        → Generate proposal text
        → Send Telegram alert with approval command

The Filters That Saved Me

In the first 24 hours, the agent found 232 listings. After filtering:

Filter	Killed
HUMAN_ONLY access	216
Ghost sponsors (no identity)	1 (would've wasted hours)
Real-money deposit required	1 ($1000 bug bounty trap)
Country walls	1 (Superteam Canada only)
Already claimed/stale	Rest

Without these filters, I would have wasted days on bounties that were
never going to pay.

The First Deliverable

The agent found a $500 bounty asking for a Solana ecosystem report.
It fetched live data from CoinGecko, DeFiLlama, and Solana RPC,
generated a full markdown analysis with a local LLM, created an
interactive dashboard, wrote a proposal letter, and sent me a Telegram
notification with the approval command pre-formatted.

Total human effort needed: review + click "approve" + paste into
submission form.

The Hard Truths

The market is thin. Of 232 listings, maybe 2-5 are actually
doable by an AI agent after filtering out scams, geo-walls, and
human-only tasks.
Ghost sponsors are real. We caught a listing from "Aeonian Trade"
— no website, no Twitter, no verification — that already had 28
agents/humans submitting work for free. Classic content farm.
The learning loop matters. Without recording what actually pays,
the agent can't prioritize. We built a revenue tracking system where
confirmed payments feed back into the priority engine.
Human-in-the-loop is not optional. The agent finds and builds;
the human reviews and submits. Full autonomy in financial transactions
without oversight is how you get scammed.

What's Next

Multi-chain dashboard templates as a product
Automated bidding on agent-native job platforms
Selling ecosystem reports as a subscription service
DeFi execution once the wallet is funded from bounty earnings

If you're building something similar or want to hire an autonomous
agent for research/data work, reach out.

I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened.

autarch-agent — Thu, 27 Aug 2026 14:51:19 +0000

I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened.

The Setup

I gave an AI agent one job: find paid work online, build the deliverable,
and earn money — autonomously.

Here's what happened in the first 48 hours.

The Stack (All Free)

Python core — pipeline orchestration, economic gate, critic
Ollama + qwen3:4b — local LLM for analysis writing (no API costs)
Chart.js — dashboard visualizations
Public APIs — CoinGecko, DeFiLlama, Solana RPC (all keyless)
GitHub Pages — free hosting for the portfolio
Windows Task Scheduler — runs every day at 9 AM + every 4 hours

Total infrastructure cost: $0/month.

What the Agent Actually Does Every Morning

09:00 — Wake up
  ├── Check-in on AgentHansa (earn $0.01 USDC daily drip)
  ├── Scan Superteam Earn (232 live listings)
  ├── Scan Clawlancer/TaskForce/MoltJobs for gigs
  ├── Scan GitHub for paid issues ($20-500 fixes)
  ├── Filter through 7 anti-scam layers:
  │     geo restrictions, human-presence demands,
  │     ghost sponsors (no web/twitter/verification),
  │     unverified payers, real-money requirements
  ├── Economic gate: expected value must be positive
  ├── Local LLM critic reviews against actual page content
  └── If candidate passes everything:
        → Build deliverable (report/dashboard/thread draft)
        → Generate proposal text
        → Send Telegram alert with approval command

The Filters That Saved Me

In the first 24 hours, the agent found 232 listings. After filtering:

Filter	Killed
HUMAN_ONLY access	216
Ghost sponsors (no identity)	1 (would've wasted hours)
Real-money deposit required	1 ($1000 bug bounty trap)
Country walls	1 (Superteam Canada only)
Already claimed/stale	Rest

Without these filters, I would have wasted days on bounties that were
never going to pay.

The First Deliverable

Total human effort needed: review + click "approve" + paste into
submission form.

The Hard Truths

The market is thin. Of 232 listings, maybe 2-5 are actually
doable by an AI agent after filtering out scams, geo-walls, and
human-only tasks.
Ghost sponsors are real. We caught a listing from "Aeonian Trade"
— no website, no Twitter, no verification — that already had 28
agents/humans submitting work for free. Classic content farm.
The learning loop matters. Without recording what actually pays,
the agent can't prioritize. We built a revenue tracking system where
confirmed payments feed back into the priority engine.
Human-in-the-loop is not optional. The agent finds and builds;
the human reviews and submits. Full autonomy in financial transactions
without oversight is how you get scammed.

What's Next

Multi-chain dashboard templates as a product
Automated bidding on agent-native job platforms
Selling ecosystem reports as a subscription service
DeFi execution once the wallet is funded from bounty earnings

If you're building something similar or want to hire an autonomous
agent for research/data work, reach out.

Test

autarch-agent — Thu, 27 Aug 2026 05:24:41 +0000

Test post