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Everything / Finance and crypto / Ethereum

Trend in Finance and crypto · tag ethereum · through Sep 2026

Ethereum Reviving

On TutorHero's Everything Index, Ethereum is reviving on GitHub: 0.78 of every 10,000 new public repos over the last three months (734 a month), +70% vs a year ago and 0.65x its level when ChatGPT launched. The 12-month forecast says edging up (+18%). By the end of 2032, lines in the same state ended between 0.29x and 4.8x of where they started (median 0.82x).

Per 10k new repos0.78734 new repos a month
Year over year+70%3 months: +12%
Next 12 months+18%80% band 0% to +280%
2032, median of history0.82x90% of past cases: 0.29x to 4.8x
Attention0.14%of new stars, -75% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
Share on X

Since 2019, and the range to 2032

0.31320192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 3.71Median 0.63Low 0.22

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar lines

The range is not a forecast of this line: it is what GitHub lines in the same state (grew its share 15% to 100% in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week303 new reposOct 12 to Oct 18 · +5% against the field
Last 4 weeks• +2%854 new repos, against the 4 weeks before and the field
Wikipedia, 7 days4.1k views-3% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

New public repos with the ethereum tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News3 stories a month-68% share of HN vs a year ago · titles with "ethereum"
Wikipedia20.3k views a month-58% share of Wikipedia vs a year ago · Ethereum
Talk vs buildingTalk and building in stepWikipedia -58% vs GitHub new repos +70% over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hired
  • Worth learning now: Ethereum is reviving, +70% share of new GitHub repos vs a year ago.
  • Start by reading alsk1992/CloddsBot (+2.1k stars in 3 months) and Mathieu2301/TradingView-API (+1.4k stars in 3 months).
  • People to follow: Officer | officercia, SunWeb3Sec, Rainbow.
Founders and builderswhat to build next
  • Getting crowded: new repos +70% but attention -75%, so each new project competes harder for stars.
  • 2.00 new stars per new repo over 3 months, vs 8.50 for the typical trend: more supply than demand right now.
  • The 12-month forecast for its share: +18% (Edging up).
  • Talk and building in step: Wikipedia -58% vs new repos +70% in a year, close to the typical trend.
Investorswhich fields deserve research time
  • History: of past GitHub lines that grew its share 15% to 100% in a year, 49% had a smaller share 3 to 5 years later and 13% at least doubled.
  • Attention: 0.14% of new stars on the repos we track, -75% in a year.
  • Hacker News: 3 stories a month, -68% share in a year; Wikipedia 20.3k views a month, -58%.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: alsk1992/CloddsBot (organic stars), Mathieu2301/TradingView-API.
  • The field is reviving, so expect new tools and fast changes; pin versions.

Repos carrying it now

alsk1992/CloddsBotOpen Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM +2.1k stars in 3 months · organic
Mathieu2301/TradingView-API📈 Get real-time stocks from TradingView+1.4k stars in 3 months
GMWalletApp/epusdt开源优雅的跨平台收款网关 GM Pay(formerly known as EPUSDT)+100 stars in 3 months
foundry-rs/foundryFoundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.+70 stars in 3 months
cake-tech/cake_walletThe open source repository for Cake Wallet, a noncustodial multi-currency wallet, and Monero.com, a noncustodial Monero-only wallet. Need he+67 stars in 3 months
unionlabs/unionThe trust-minimized, zero-knowledge bridging protocol, designed for censorship resistance, extremely high security, and usage in decentraliz+50 stars in 3 months

People building it

More in Finance and crypto

Questions

Is Ethereum growing on GitHub?

Yes. Its share of all new public GitHub repos is +70% vs a year ago and +12% over the last three months (Sep 2026). Phase: Reviving.

How many new Ethereum repos are created each month?

About 734 new public repos a month carry the ethereum tag (three-month average to Sep 2026), or 0.78 of every 10,000 new repos.

What will Ethereum look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that grew its share 15% to 100% in a year, the middle half had between 0.53x and 1.41x of their share 3 to 5 years later, and 49% ended smaller.

Is Ethereum more talked about than built?

Talk and building in step. Over the year its share of Wikipedia views moved -58% while its share of new GitHub repos moved +70%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: about 1/1.1 of the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.