Everything / Video and animation / Text to video
Text to video Emerging
On TutorHero's Everything Index, Text to video is emerging on GitHub: 0.19 of every 10,000 new public repos over the last three months (184 a month), 10x vs a year ago. The 12-month forecast says rising (+108%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).
Since 2019, and the range to 2032
New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar linesJev's 2032 call
The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos 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
Wikipedia views a day, last 8 weeks
New public repos with the text-to-video 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
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
- Worth learning now: Text to video is emerging, 10x share of new GitHub repos vs a year ago.
- Start by reading hypit-ai/hypit (+18.5k stars in 3 months) and calesthio/OpenMontage (+7.3k stars in 3 months).
- People to follow: Anil Chandra Naidu Matcha, HBAI-Ltd, Lightricks.
- Jev for someone who wants to contribute or get hired: Commit this year (3.1 of 4).
- Builders and attention both rising: new repos 10x, attention 9x in a year.
- 72.3 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
- The 12-month forecast for its share: +108% (Rising).
- Built more than talked about: Wikipedia +24% vs new repos 10x in a year, less talk per builder than the typical trend, so builders are ahead of the conversation.
- Jev for a builder: Commit this year (3.0 of 4).
- History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
- Jev's 2032 call: top quarter of similar lines (unsure), which on the base rates means about 1.84x today's share by the end of 2032.
- Attention: 1.64% of new stars on the repos we track, 9x in a year.
- Hacker News: 0 stories a month, -100% share in a year; Wikipedia 6.5k views a month, +24%.
- Jev for an investor: Commit this year (2.9 of 4).
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: hypit-ai/hypit, calesthio/OpenMontage (vouched).
- The field is emerging, so expect new tools and fast changes; pin versions.
- Jev for a developer picking tools: Commit this year (2.9 of 4).
Repos carrying it now
People building it
More in Video and animation
Questions
Is Text to video growing on GitHub?
Yes. Its share of all new public GitHub repos is 10x vs a year ago and +53% over the last three months (Sep 2026). Phase: Emerging.
How many new Text to video repos are created each month?
About 184 new public repos a month carry the text-to-video tag (three-month average to Sep 2026), or 0.19 of every 10,000 new repos.
What will Text to video look like in 2032?
Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller. Jev's call: Top quarter of similar lines.
Is Text to video more talked about than built?
Built more than talked about. Over the year its share of Wikipedia views moved +24% while its share of new GitHub repos moved 10x. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: about 1/2.3 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.