Toksta
B2B Influencer Marketing Platform
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February 24, 2026
Why I Decided to Build Toksta
While working with B2B brands, I noticed how influencer campaigns often started with excitement and ended in spreadsheets. Finding the right creators meant digging through profiles, checking engagement manually, and trying to verify if their audience actually matched the ideal customer.
It was slow, repetitive, and full of uncertainty.
Toksta was created to change that. Instead of relying on guesswork, it uses AI agents to research, vet, and surface high-fit B2B creators with real audience data behind them.
The goal is simple: help teams move faster and make smarter partnership decisions.
5 Comments
B2B influencer marketing is indeed a mess of spreadsheets and guesswork.
Curious: How did you validate that brands would actually pay for AI-powered creator vetting before building Toksta?
I learned the hard way that "manual process is painful" ≠ "people will pay for automation." Built something similar once, $20K, 3 months, zero sales because I skipped validation.
Now I test B2B demand with video prototypes first — show the workflow, see if they'd pay, before coding the AI agents.
Would love to hear your validation approach for Toksta. Did you pre-sell, or is the product your validation mechanism?
Hey Jone, yes - you can never be sure. I ran a pilot program alongside my build with companies like Wix, Appsflyer, Apify etc. So I started with something very basic, showed it to people and got feedback, and repeated that process over and over. I got some early customers, which helped validate it. Also there are lots of competitors out there that publish their revenue data so that gave me confidence.
However, I am still finding product market fit, figuring out churn rates etc. It's a long slog. I built a product previous to this without doing any of the above, and realised after a year I had wasted my time. With this, I am having far more conversations, and far more people are interested, which is a great sign. But let's see - still early days!
That’s a solid approach — pilots + repeated feedback loops + early paid customers is about as real as validation gets at this stage.
If you’re still hunting PMF / managing churn, one thing that’s helped me is turning the product into a very explicit outcome path for buyers:
Problem → Your process → What they get (payoff) → Next step.
Then I test that with a 60–90s walkthrough video before shipping big changes (pricing/packaging/onboarding), because it’s fast and the objections show up immediately.
Curious: in those pilots, what was the clearest “moment of value” for teams — creator fit quality, time saved, or confidence in audience match? That answer usually tells you what to anchor onboarding + pricing around.
Hi, great demo! Are you planning to include an outreach tool and campaign analytics in your product? I now promote Impulze.ai, but your product seems to be much more promising and time-saving.
Hey Eve, we're heavily focused on solving the vetting side of things as a first step as that seemed to be the biggest pain point from the pilot program - actually finding creators that fit a brand's campaign requirements. Once we feel confident we have solved that, then yes we may move into outreach features.