Match the product
A B2B SaaS product, an AI tool, and a consumer app do not earn attention in the same way.
Startup channel finder for Indian solo SaaS and app founders
Choose your first growth channel from what successful startups used at your stage.
Answer five questions. The finder compares your situation with 350 Indian startups and the channels they used while getting early customers, then gives you one channel to test first.
Find your starting channel
Tell us what you are building. We will help you choose one place to start.
Answer five simple questions. We will use them to find a more useful first channel to test.
Your answers stay in this browser. The public source dataset loads only when you run the brief.
Why this is useful
"Try SEO" is not advice until you know who it worked for, when, and why.
A channel can look brilliant for a funded consumer company, then waste months for a high-trust B2B product looking for its first customers. Early founders need one focused test, not five generic channel lists.
Match the buyer situation
Whether people already search, need education, or need a lot of trust changes how you earn attention.
Match the stage
What works after a company has a team and a brand may be the wrong first move for a founder with no repeatable engine yet.
The research behind the finder
350 Indian startup stories, mapped by the stage when a channel mattered.
The Startup Channel Atlas reconstructs how 350 Indian startups acquired users from public evidence such as founder interviews, filings, company material, case studies, press, and search footprints. Each record looks at first traction (0→1), early growth (1→10), and scale.
| What you can learn here | What you still need to decide |
|---|---|
| Which channels appeared most often for startups with a similar product, buyer situation, and stage. | Whether your offer is strong enough, what you will say, and how you will reach your first customers. |
| Named companies behind the pattern, so you can inspect the story instead of trusting a faceless score. | Whether their exact market, budget, team, or execution matches yours. |
| Channels used, contextual variables, and, where public evidence allows, what worked or wasted effort. | A guarantee. You still need to test the channel with real people. |
What "successful" means here
It means a startup acquired users and grew past an early stage. It does not mean the company is still thriving today or that every channel it used will work now. The Atlas includes acquired, distressed, and shut-down companies too, because early traction and a lasting company are not the same thing. Every record has a confidence tag because public evidence is uneven.
A static look at the data
Three early-stage snapshots from the 350-startup Atlas.
These are broad product-shape matches at the pre-launch or first-users stage. They show where certain channels appeared in the Atlas before the finder narrows the view using your five answers. They are not a universal ranking or a promise that a channel will work for you.
| Product shape | Atlas matches | Most common channels at 0→1 |
|---|---|---|
| B2B SaaS | 38 startups | Field sales: 23 (61%); PR/earned media: 23 (61%); partnerships/distribution: 21 (55%). |
| AI or developer tool | 52 startups | PR/earned media: 36 (69%); field sales: 29 (56%); partnerships/distribution: 28 (54%). |
| Consumer app | 40 startups | PR/earned media: 17 (43%); partnerships/distribution: 14 (35%); social organic: 13 (33%). |
Why the finder still asks five questions
These broad groups overlap. An AI tool can also be SaaS, and two B2B SaaS products can have very different trust and demand conditions. Your answers turn a broad pattern into a more useful first test.
Ask a sharper question
The quick finder gives a starting point. The full Atlas lets you investigate the reason behind it.
A general LLM can give you a list of possible channels. Once you load this Skill, your LLM can work with the Atlas's research context: similar Indian startups, the stage they were in, channels they used, and the confidence or limits of the evidence.
Download the LLM skillAsk a specific channel question inside your own LLM workspace, using the Atlas's channel-selection rules.
Use the MCP serverGet small, ranked, evidence-backed results from direct dataset queries in Claude Desktop, Cursor, or Claude Code.
Open the full repositoryInspect the raw research, CSVs, method, source code, and setup instructions yourself.
Startup channel finder FAQ
Which marketing channel should a solo SaaS founder try first?
Start with the channel that appears most often among startups with a similar product and stage, then run one small test. This finder gives you a better first choice than generic advice. It does not guarantee a result.
What does successful startup mean in this finder?
It means a startup acquired users and grew past an early stage. It does not mean the company is still operating, is the largest in its category, or that every channel it used would work today.
Why is my exact match sometimes small?
A specific product and buying situation can leave only a few close matches. The finder tells you that plainly, then shows a broader comparison only when it names the difference. Use a small match as a strong lead for a first test, not a final answer.
Where does the startup data come from?
The Startup Channel Atlas is a public dataset of 350 Indian startups, coded from public evidence such as filings, company material, founder interviews, press, case studies, and search footprints. The channel information is reconstructed from that evidence, not copied from private company dashboards.
What stages does the Startup Channel Atlas cover?
The Atlas records channel history across first traction, early growth, and scale. This quick finder focuses on a first test for founders who are pre-launch, finding first users, or building early repeatable revenue.