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ID

by Hassan FahidLaunched 2023-11via Nathan Latka Podcast
See all SaaS companies using enterprise direct sales
Growthenterprise direct sales
Time to PMF1 year
Pricingusage-based
Built in1 year
The Spark

Hassan Fahid recognized a massive inefficiency in Egyptian agriculture: farms managing one billion seasonal workers globally still relied on pen and paper. With crops like citrus, grapes, strawberries, and potatoes requiring seasonal labor spikes for harvesting and maintenance, farms had no way to efficiently source, track, or pay workers. Hassan saw an opportunity to digitize an entire sector that had never experienced software before.

Building the First Version

ID started with Hassan's first line of code in November 2023—though he'd built and discarded several earlier prototypes. The platform needed to solve multiple problems simultaneously: a worker app to help laborers find opportunities, a supervisor app to track field tasks via QR-coded digital plot identities, and a management dashboard for real-time visibility. After raising $2M from investors in February-March 2024 on the back of his track record scaling previous companies in the UAE, Hassan spent $250,000 to build a four-product suite. By the time Nathan interviewed him, the team had grown to 27 people (11 engineers, 9 in product/design/QA), burning approximately $40,000 per month.

Finding the First Customers

Hassan didn't need to cold-call. Validation from leading industry players helped him raise $2M pre-product. He then recruited 10 of Egypt's largest commercial farms into a pilot program, avoiding the trap of trying to sell against competing solutions—instead, he sold the concept of software itself to an industry that had never used it. The results were striking: 1,200 acres engaged daily across the 10 farms and 5,000 seasonal workers placed.

What Worked (and What Didn't)

Hassan initially resisted charging during the pilot, despite the obvious value. His reasoning: field supervisors were using an app for the first time in their lives, internet connectivity was unreliable in both office and field, and he needed to prove the technology was reliable enough for farms to base operations on it. Rather than a design fee, he doubled down on demonstrating ROI. The nervousness of burning $40K/month faded once customer feedback confirmed product-market fit. By December, Hassan planned to launch pricing: $1 per active acre per month, plus 5% of worker wages (approximately 75 cents per worker per day). With 5,000 workers and $15/day average wages, this projected to ~$3,700/day or $112,000/month in revenue.

Where They Are Now

Hassan was preparing to flip the paywall next month (December), with most of the 10 pilot customers expected to convert by January after 60-90 day free trials. The biggest opportunity remained untapped: the current 10 customers represented only 5-10% of their total acreage. Some farms had 50,000-60,000 acres, meaning ID could scale 10x with existing relationships alone. At 28 years old and getting only four hours of sleep per night, Hassan was building the first-ever software platform for a sector managing one billion workers globally.

Why It Worked
  • Hassan validated product-market fit before building by securing commitments from leading industry players, allowing him to raise capital and build with confidence rather than guessing at customer needs.
  • The usage-based pricing model directly aligns revenue with customer value delivery, making the ROI transparent and creating natural expansion opportunities as farms scale their acreage usage.
  • By targeting an industry with zero software adoption history, ID avoided competing against entrenched solutions and instead educated customers on software value itself, reducing sales friction.
  • Hassan's decision to delay charging during pilots removed adoption barriers for first-time software users with unreliable infrastructure, prioritizing proof-of-reliability over early revenue and enabling land-grab in an untapped sector.
How to Replicate
  • 1.Identify industries with massive, measurable inefficiencies (like manual processes affecting millions) where software adoption is near-zero, then validate demand directly with the largest players before writing production code.
  • 2.Structure pilots as free trials with clear conversion timelines (60-90 days) rather than perpetual free tiers, and use pilot periods to gather usage data that justifies your usage-based pricing model to customers.
  • 3.Design your product to solve multiple interconnected problems simultaneously (worker discovery, task tracking, payment, visibility) so the value proposition is comprehensive enough to justify adoption in traditional industries.
  • 4.Build pricing that compounds with customer success—structure it as a percentage of economic value created (e.g., percentage of wages managed, per-acre fees) so your revenue scales directly with customer growth.

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