Santiment’s latest GitHub activity ranking reveals which lending protocols are building fastest and the leader is not a new project chasing narrative momentum.
What Development Activity Actually Measures
Santiment tracks GitHub commits, code pushes, and repository activity across crypto projects to produce development activity scores independent of price performance. The metric matters because sustained engineering work tends to precede protocol improvements, new features, and eventually user adoption. It also filters out projects that market heavily while building slowly. A high development score on a bear market week means engineers showed up regardless of price.
The methodology pulls raw activity from project repositories over a 30-day window. The directional arrows in the ranking indicate whether each project’s position rose or fell compared to the previous month.
🧑💻 Here are crypto's top Lending projects by development. Directional indicators represent each project's ranking rise or fall since last month:
📈 1) @curvefinance $CRV (On Ethereum)
📈 2) @curvefinance $CRV (On Arbitrum)
📈 3) @succinctlabs $PROVE
📈 4) @availproject $AVAIL
📈… pic.twitter.com/tXY05k9PWZ— Santiment (@santimentfeed) March 9, 2026
The Rankings and What They Show
Curve Finance occupies both first and second position simultaneously, with identical development activity scores of 30.03 across its Ethereum and Arbitrum deployments. The score gap between Curve and the third-ranked project, Succinct at 14.1, is larger than the gap between third and tenth place. Curve’s engineering output is running at roughly double the pace of the next most active project on the list.
Curve’s market cap sits at $357.95 million with CRV trading at $0.243. The protocol dominated DeFi lending and liquidity infrastructure during the 2021 and 2022 cycles before its founder’s margin position caused a significant crisis in 2023. Sustained high development activity two years after that episode suggests the core team rebuilt rather than wound down.
Succinct at third with a score of 14.1 is the least familiar name on the list for most readers. The project focuses on zero-knowledge proof infrastructure on Ethereum, with a market cap of $52.54 million. Infrastructure projects building ZK tooling rarely attract retail attention at this stage. Development activity rankings are one of the few signals that surface them before they become widely discussed.
Avail at fourth, score 11.23, provides data availability infrastructure and sits at a $14.16 million market cap. API3 at fifth, score 10.23, builds decentralized oracle solutions and carries a $24.2 million market cap. Both are small by total market standards with engineering activity that outpaces much larger projects.
DoubleZero at sixth with a score of 7.53 operates Solana infrastructure, currently priced at $0.075 with a $262.86 million market cap. The market cap to development activity ratio there is worth noting: a project with $262 million in market value recording lower development activity than a $14 million infrastructure project raises questions about what that valuation reflects.
Radworks, Reserve Protocol, Pocket Network, and Gitcoin round out positions seven through ten with scores between 5.17 and 7.5. All are established projects with multi-year track records. All are showing rising rankings compared to the previous month.
What the List Does Not Tell You
Development activity measures engineering output, not engineering quality. A team pushing frequent small commits scores well. A team making fewer but more significant architectural changes may score lower while producing more durable work. The metric is a useful directional signal, not a comprehensive evaluation.
Price performance across the top ten is modest and mixed. Curve’s 4.59% weekly gain is the largest on the list. Several projects show gains under 2%. High development activity during a period of broad market weakness suggests teams are building through the cycle rather than waiting for prices to recover before resuming work. Whether that discipline translates into stronger positioning when conditions improve is the question the data raises without answering.
