Freelance Rates Dataset: 45 Gig Listings From Superteam Earn

Gig economy listing data from Superteam Earn, a bounty board where Solana sponsors post content, design and development work: 45 listings with the reward each sponsor advertised, the deadline, the sponsor name, and how many submissions each listing drew. Harvested from the live superteam.fun API on 2026-09-04. Every number on this page is copied from the files in the pack, so you can judge the data before you spend. There is also a free 5-listing CSV sample if you want the shape of the rows first.

What's in the pack

The product README, verbatim:

earn-listings-full-descriptions.json — 28 open listings with FULL description HTML (not in public cards API), deadlines, rewards, sponsor slugs

earn-listings-cards.json — raw paginated cards API dump (17 unique live listings)

earn-api-endpoints.txt — 186+ reverse-engineered API routes (listings, comments, submissions, sponsor dashboard ops)

BONUS: the exact endpoint patterns (/api/search/{title} trick to get full description text — undocumented)

Source: live superteam.fun API, harvested 2026-09-04. Includes Privy auth flow notes (passwordless init/authenticate, token refresh via /api/v1/sessions).

Field lists below come from parsing the shipped files, not from the README.

Fields in each file

earn-listings-cards.json, one object per listing:

• title, slug, id: listing identity
• rewardAmount: advertised reward in the listing's token; null on one project listing that takes a range instead
• minRewardAsk / maxRewardAsk: the range variant (50 USD–250 USD and 1,000 USD–2,000 USD on this snapshot)
• token: USDC or USDG
• type: bounty or project
• compensationType: fixed or range
• deadline: ISO timestamp
• status, isFeatured, isPro, isWinnersAnnounced
• agentAccess: HUMAN_ONLY or AGENT_ALLOWED
• _count.Comments, _count.Submission: engagement counts at harvest time
• sponsor.name, sponsor.slug, sponsor.isVerified

earn-listings-full-descriptions.json, one object per listing: slug, title, reward, token, deadline, and desc: the full description HTML the public cards API leaves out.

Five sample rows, verbatim

Copied verbatim from earn-listings-cards.json by a script that asserts each cell against the file before publishing. Reward is what the sponsor advertised, not a payout. Dates are ISO timestamps in the file, shown as date only. The trailing space after "Flint" is in the source data.

The same first row, byte-for-byte from the file (JSON, one indent):

{
 "id": "b876d371-ebec-4c8f-8ff8-f19bdb8cff90",
 "rewardAmount": 8000,
 "deadline": "2026-09-07T21:59:59.999Z",
 "type": "bounty",
 "title": "Create Content for Breakpoint 2026",
 "token": "USDG",
 "winnersAnnouncedAt": null,
 "slug": "create-content-for-breakpoint-2026",
 "isWinnersAnnounced": false,
 "isFeatured": true,
 "compensationType": "fixed",
 "minRewardAsk": null,
 "maxRewardAsk": null,
 "agentAccess": "HUMAN_ONLY",
 "status": "OPEN",
 "isPro": false,
 "_count": {
 "Comments": 35,
 "Submission": 76
 },
 "sponsor": {
 "name": "Superteam Germany",
 "slug": "superteam-germany",
 "logo": "https://res.cloudinary.com/dgvnuwspr/image/upload/v1680563012/earn-sponsors/recDH2T4vsTezh3Je.png",
 "isVerified": true,
 "chapter": {
 "id": "b94186a5-0bc7-48db-b1b8-330b3c32dfeb"
 }
 }
}

The snapshot in numbers

Computed from the shipped files at build time. "Advertised" is the reward the sponsor put on the listing. The files contain no payout, winner, or fee records.

Three things you can analyze with it

All three are analyses of listings as listed. The files carry no earnings, payout, or winner data, so none of them say anything about what any individual made.

• Reward benchmarking by category. Group listings by type, token, or compensation style and compare advertised amounts: fixed bounties clustered at 290 USD–2,000 USD USDC on this snapshot, USDG listings running 1,000 USD–10,000 USD, two range-based projects. If you study gig platforms, that gives you a baseline for one crypto-native board on one date.
• Competition per listing. _count.Submission sits next to each advertised reward, so you can compare crowding: 214 submissions chasing 1,500 USD on one listing versus 9 submissions on a 290 USD one. Ratio analysis, scatter plots, or a plain table. The columns are already there.
• Market structure. Sixteen sponsors posted the seventeen unique listings in the cards dump, 13 of 17 paid in USDC versus 4 in USDG, and 15 of 17 barred automated agents via agentAccess. Splits like that feed platform-comparison work: how one board structures work, payment, and access.

Joining the two files

Both files join on slug. Sixteen of the seventeen cards rows have a matching full-description row; on every match, the reward values agree. The cards file carries the sponsor, counts, and status fields; the full-descriptions file carries the desc HTML and includes 12 listings the cards dump does not. Join, and you get one wide table: reward, token, type, deadline, sponsor, counts, and the full listing text.

What this dataset can't tell you

For the API side of the same harvest (30 of the 186 routes, free), see the Superteam Earn API endpoint reference.

Instant download · JSON + TXT · commercial license included