A YouTube subscriber projector models channel growth over 24 months from your current subscribers, monthly growth rate, upload frequency, and niche. See the month you cross 1K, 100K, and 1M, with deceleration applied so the projection stays honest.
That is right at the Technology average of 4% a month.
On by default, and it should stay on. Your full rate applies below 10K subscribers, tapering to 85% by 100K, 70% by 500K, 60% by 1M, and a 50% floor by 2M. Turning it off assumes you hold 4% forever, which no channel does.
At 5K subscribers, growing 4%/mo with 2 uploads a week, you would reach about 8K in 12 months. Next milestone: 10K subscribers around Feb 2028.
Feb 2028
10K subscribers, month 18 of 24. Community posts unlocked.
In 12 months
8K
+3K new
In 24 months
12.8K
+7.8K new
Modelled from your inputs, not a forecast. Algorithm shifts and a single breakout video move these dates more than anything on this page. Methodology
Your pace vs Technology
At average
Technology channels average 4% a month. You are ahead of that pace. Growth benchmarks by niche
Bars fill to the month each milestone lands inside the 24-month window. 10K is your next one.
Dates come from the mid projection. The result card shows the honest window for your next one, using the same confidence band as the chart.
Growth rate is the hard part. These are the levers that move it, priced against your own numbers.
Publish 3 times a week
The upload multiplier goes 1x to 1.1x, pulling 10K forward to Jan 2028, a month sooner.
One point faster is worth 3 months
Going from 4% to 5% a month brings 10K forward to Nov 2027. Small rate changes compound hard over two years.
Use your recent three-month average growth rate rather than your best month. A single viral video inflates the rate that the model then compounds for two years, which is the fastest way to get a projection you cannot act on.
These niche averages are the projector's default growth rates. Doubling time assumes the niche average with no deceleration, so treat it as a best case: real channels slow down as they grow.
| Niche | Avg monthly growth | New subs/mo at 10K | Months to double |
|---|---|---|---|
| Entertainment | 6% | ~600 | ~12 |
| Gaming | 5.5% | ~550 | ~13 |
| Education | 5% | ~500 | ~14 |
| Health & Fitness | 4.5% | ~450 | ~16 |
| Technology | 4% | ~400 | ~18 |
| Food & Cooking | 4% | ~400 | ~18 |
| Finance & Business | 3.5% | ~350 | ~20 |
| Travel | 3.5% | ~350 | ~20 |
| Beauty & Fashion | 3% | ~300 | ~23 |
| Lifestyle | 3% | ~300 | ~23 |
A channel at 1,000 subscribers growing 10% a month gains 100 subs. Holding 10% at 100,000 means gaining 10,000 a month, which almost nobody sustains. Deceleration dampens your entered rate as the channel scales, interpolating between these points so the curve bends smoothly instead of stepping.
| Channel size | Rate applied |
|---|---|
| Under 10K | 100% |
| 100K | 85% |
| 500K | 70% |
| 1M | 60% |
| 2M and up | 50% |
| Uploads per week | Multiplier |
|---|---|
| None | 0.50x |
| 1 | 0.80x |
| 2 (baseline) | 1.00x |
| 3 | 1.10x |
| 4 to 5 | 1.15x |
| 6 or more | 1.20x |
In rate mode each month is: previous month × (1 + your rate × deceleration × upload multiplier). In flat mode a fixed number of subscribers is added each month, adjusted by the upload multiplier only. Read the full methodology.
Projections feel abstract until you run real-shaped channels through them. Each example uses this projector's actual model, with niche-average growth, the upload multiplier, and deceleration all applied.
Jess, gaming, 2 uploads a week
Month 5
800 subscribers growing at the Gaming average of 5.5%. Crosses 1,000 and YPP eligibility around month 5, finishing year one near 1,500.
Marcus, technology, 3 a week
Month 31
30,000 subscribers at 4% a month. Deceleration already bites: about 49,000 at month 12, 50K early in year two, and the Silver Play Button around month 31.
Dana, food, flat gain mode
Month 9
5,000 subscribers plus about 600 a month from her recipe blog, regardless of channel size. Community tab at 10,000 around month 9, about 12,200 by month 12.
The pattern worth noticing: small channels hit their first milestones fast, and the bigger the channel the more deceleration stretches the timeline. Jess grows about 90% in a year while Marcus grows 63% on a similar effort level.
Where people go next from this page.
Longer guides behind the numbers above.
Official eligibility thresholds and Creator Award tiers.
Observed subscriber growth across millions of channels.
Creator economy and platform growth reporting.
Niche-level growth and audience benchmarks.
No single source is used in isolation; the ranges represent the consensus across them. Full formulas and the update schedule are on the methodology page.