We recently crossed our first 100 active users at InterviewFlowAI. Getting here was significantly harder than I originally expected. Looking back, I wasted months of engineering and marketing effort going down the wrong paths.
If I were starting over today, here is the technical and business reality check I wish I had:
Traction over pitch decks: We spent a lot of time prepping for a $1.5M seed round before we had real, consistent usage. Validate your idea by fighting for those first 100 users first. Real traction flips the dynamic of investor meetings entirely.
Stop over-engineering the landing page: As technical founders, we want to build everything custom. Do not build your marketing site from scratch. Study the structure of SaaS tools you admire, adapt their section layouts, and move on to the actual product.
Distribution requires daily work: Writing code is only half the battle. You have to publish online daily. Pick your channel (Reddit, X, LinkedIn, or an SEO blog) and stay consistent to get in front of your target audience.
Give away the hard stuff first: Manual resume screening is fundamentally broken. We built the objective AI engine we wished we had and kept it completely free for a limited time. That raw usage gave us the edge cases, feedback, and testimonials we needed to confidently introduce our $299 and $499 monthly enterprise plans.
The first five minutes dictate churn: Your onboarding is a promise. We realized we had to put a massive amount of effort into those initial screens so hiring managers could experience the AI's value immediately.
Ship smaller pieces faster: Maintain an MVP mindset for every feature. We pushed out tools like our "smart screening questions" quickly just to see how users interacted with them, then used that telemetry to improve the logic.
Incumbents are a target, not a wall: Just because massive legacy ATS platforms exist does not mean you cannot compete. They are often slow and bloated. Focus strictly on execution. We simply aimed to build a better, unbiased scoring engine.
Co-founder alignment is your biggest moat: Having a technical co-founder like Tushar who matches your ambition is the single greatest advantage. The emotional and technical workload is too heavy to carry alone.
Do things that do not scale: Earning those first paying customers is an absolute grind. You have to do the manual, unscalable work to get them onboarded.
Building a solid product ultimately comes down to ignoring your own assumptions and obsessing over what your users actually need.
Happy to answer any questions about our stack, how we transitioned to paid tiers, or the resume parsing logic.
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[ 1.2 ms ] story [ 13.5 ms ] threadWe recently crossed our first 100 active users at InterviewFlowAI. Getting here was significantly harder than I originally expected. Looking back, I wasted months of engineering and marketing effort going down the wrong paths.
If I were starting over today, here is the technical and business reality check I wish I had:
Traction over pitch decks: We spent a lot of time prepping for a $1.5M seed round before we had real, consistent usage. Validate your idea by fighting for those first 100 users first. Real traction flips the dynamic of investor meetings entirely.
Stop over-engineering the landing page: As technical founders, we want to build everything custom. Do not build your marketing site from scratch. Study the structure of SaaS tools you admire, adapt their section layouts, and move on to the actual product.
Distribution requires daily work: Writing code is only half the battle. You have to publish online daily. Pick your channel (Reddit, X, LinkedIn, or an SEO blog) and stay consistent to get in front of your target audience.
Give away the hard stuff first: Manual resume screening is fundamentally broken. We built the objective AI engine we wished we had and kept it completely free for a limited time. That raw usage gave us the edge cases, feedback, and testimonials we needed to confidently introduce our $299 and $499 monthly enterprise plans.
The first five minutes dictate churn: Your onboarding is a promise. We realized we had to put a massive amount of effort into those initial screens so hiring managers could experience the AI's value immediately.
Ship smaller pieces faster: Maintain an MVP mindset for every feature. We pushed out tools like our "smart screening questions" quickly just to see how users interacted with them, then used that telemetry to improve the logic.
Incumbents are a target, not a wall: Just because massive legacy ATS platforms exist does not mean you cannot compete. They are often slow and bloated. Focus strictly on execution. We simply aimed to build a better, unbiased scoring engine.
Co-founder alignment is your biggest moat: Having a technical co-founder like Tushar who matches your ambition is the single greatest advantage. The emotional and technical workload is too heavy to carry alone.
Do things that do not scale: Earning those first paying customers is an absolute grind. You have to do the manual, unscalable work to get them onboarded.
Building a solid product ultimately comes down to ignoring your own assumptions and obsessing over what your users actually need.
Happy to answer any questions about our stack, how we transitioned to paid tiers, or the resume parsing logic.