Tavsiye: Validate your core model with a short-term 90-day plan, capture results in a table, and secure admission from 20–50 early adopters before you raise funds. Once started, track weekly metrics and adjust fast.
Frame your effort in distinct stages: discovery, validation, and early traction. Start with a minimal prototype, run short-term experiments, measure per-user value, cost to serve, and churn in weekly sprints; keep burn under control and extend the runway if payback improves.
The opposite of guesswork is data-backed experiments. Use a simple, repeatable testing loop: form a hypothesis, run a test, collect data, and decide within one sprint. If data shows a feature doesn’t add value, pause it and reallocate resources to the next high-impact idea.
Becoming a leader means more than product work for the company. Build a small but capable team, align on a shared mission, and maintain daily routines that include a quick coffee break to reset focus. Document decisions, share progress transparently, and welcome candid feedback from customers and investors alike.
In the long run, the math matters: reduce cash burn, increase profit margins, and design for growth with scalable processes. Track the main metrics in a single dashboard, and update it weekly so you can forecast longer horizons and avoid misaligned bets. Keep the needed funding aligned with milestone progress to prevent over- or under-capitalization.
Keep the table of key indicators visible on your screen and review it at least once per week. Use the data to trim features that don’t pay back, double down on those with solid unit economics, and schedule concrete milestones for the next 60–90 days to keep momentum without chasing every shiny new idea.
Lessons from a first-time CEO – Steve El-Hage on learning everything the hard way
Begin with a clear customer problem and validate it with a seed test. This mightve saved Steve El-Hage from chasing vanity and redirected energy toward a measurable target for customers, shortening the feedback loop and grounding every next step.
From the profile of early users, he held regular calls to map needs and the economics of each choice, then tested a few core features that addressed real problems.
Horowitz-style realism keeps him grounded; he avoids hyped promises and sticks to what the data says, aligning every decision with the team’s values.
Using previous experiments, he documented what happened when a feature failed and what to adjust next, then letting the team pivot rather than defend a broken plan.
Customers whos needs guided the pricing and product shape, and he found that lean economics with a clear seed model created predictable revenue.
Reviews showed what looks appealing to users and what falls short; theyve learned to exclude anything that doesn’t add value.
Including easy wins and a suggested guide, this article outlines the concrete steps to test next: draft a hypothesis, run a one-week experiment, and decide within three days.
gonna be blunt: founders who believe love and discipline can coexist with speed win, because they measure ends and optimize for learning rather than vanity.
Knowing the needs and values of the core customers helps you avoid wasted investments and keeps the team focused.
This article offers a practical guide drawn from Steve El-Hage’s hard lessons for first-time founders.
Validate ideas fast: conduct two customer interviews per week before building
Do two customer interviews per week before you start building. This basis informs what you ship and reduces wasted effort at the outset.
Prepare a short guide with 6-8 questions, 30-45 minutes per interview, focusing on a concrete problem: what they tried, how much it costs, and what they would pay for a fix. Ask for specific examples, and push to identify the real need rather than listing features. You’ll tell what matters by listening to real stories.
Capture early signals by listening for what they heard, felt, and would change. Summarize each session in a few bullets and flag items that indicate long-term impact. You will learn much from patterns across sessions, which helps beginners avoid misdirected bets.
Avoid artificial scripts and keep interviews in natural places where people work or spend time. The context matters; unstructured chats often reveal uncharacteristic pain points that surveys miss. If you choose paid participants, you’ll hear more candid details, but compare against free sessions to avoid skew. If someone describes a problem and you can’t map it to a job change, push back with a clarifying question until you see where the pain sits.
From two chats, infer the core use case, the willingness to pay, and the feature constraints that mattered long-term. The path that resulted from those chats should guide MVP scope, pricing, and who you target. This cadence prevents a miserable waste of burned resources and keeps your plan rooted in people’s real needs.
For beginners, treat each interview as a personal data point instead of a vote. Listen, tell, and adjust. If a suggested idea falls flat in two conversations, mark it as uncharacteristic and move on. The simple discipline of two interviews weekly makes you more confident and less prone to blunders.
Conserve runway: craft a 90-day cash plan and monitor burn daily
Implement a 90-day cash plan and monitor burn daily by updating a live ledger each morning and sharing a concise dashboard with the team. The plan must clearly show cash on hand, inflows, fixed costs, payroll, and discretionary spend, grouped into buckets: fixed costs, variable costs, and one-off investments. Been there before, this structure keeps leadership aligned and makes every dollar visible.
Structure targets around three months, with a weekly burn target and a daily burn cap. Detail the forecast for inflows and the timing of receipts, so you can adjust in real time. Use three buckets to guide decisions: fixed costs, variable costs, and discretionary investments. If a category breaches its cap, shift funds from discretionary to cover essentials; such moves avoid a cliff when a single vendor delays payment. Use leading indicators to guide decisions, such as cash-burn rate and days of runway.
Daily routine: pull actuals from banking and accounting systems, update the burn number, and compare against the forecast. Flag any variance that exceeds a 5% threshold and report to the leadership within 24 hours. Ask questions such as: Do we have unspent cash in a bucket? Couldnt we defer some spend? Leveraging this discipline helps you keep a high level of grip while staying lean.
Three-month plan milestones help your crew stay focused. In Month 1, shore up liquidity by renegotiating term sheets and pausing nonessential hires. In Month 2, tighten vendor terms and push for payment timing that aligns with revenue. In Month 3, test a lighter operating mode and confirm the runway can stretch further if needed. These steps changed the course of the burn curve and reduced your tipping point risk, bridging to a safer position for months ahead.
Evidence-based decisions require screening every cost item against ROI and impact. Use data, not intuition, to decide which line items to cut. Screen such costs for ROI and strategic fit. Screen for recurring charges, contracts that dont align with your goals, and any high-cost subscriptions that dont produce measurable value. This screening helps reduce parting with money you could reinvest in growth.
Accountable leadership drives fidelity to plan. Assign owners for each bucket, set clear expectations, and require a weekly 15-minute update. People who own the numbers stay focused, and the story behind the numbers becomes a reference for tough decisions. If a plan slips, the leader who is accountable communicates quickly and you adjust trajectory rather than wait for a crisis.
Common blunders to avoid include over-optimistic inflows, underestimating ramp time, and letting meetings drift without decisions. The parting of nonessential costs should be decisive; relax risk controls at your own peril. An aggressive stance on cost cuts with a clear bridge to next funding can prevent a tipping point where payroll or vendors stall, potentially derailing momentum.
Keep a final note: this plan is a living tool, not a one-off memo. It has been updated as months pass and conditions change. The fidelity to daily monitoring builds trust with investors and team members alike, showing evidence of disciplined execution. The story you tell around the numbers matters as much as the numbers themselves. This mightve saved you from a tighter spot.
Hire deliberately: define core roles, run short trials, and design onboarding sprints

Define three core roles that drive momentum: executive sponsor from the co-founders, a product/engineering lead, and a growth/operations partner. Create a concise one-page proposal for each role and candidate, then share it within the team to align on expectations.
Run a couple of short trials to evaluate fit. Give each candidate clearly scoped tasks across product thinking, code delivery, and customer outreach. Track concerns as they arise during the twists of execution, and decide within the trial window whether to move forward or adjust. Keep the environment relaxed so you can observe collaboration and decision-making, not just a single interview performance.
Design onboarding sprints that land quickly. Build a dedicated, time-boxed plan for each role: Day 1 context and goals, Day 2 ownership of a concrete task, Day 3 implementation, Day 4 feedback, Day 5 decision. Use stacked tasks to reveal thinking under pressure, and stick to a tight cadence. Pair each candidate with a mentor to answer questions during the sprint and make it easier to see real capability in a moving, real-world setting.
Measure outcomes and adjust. Track immediate deliverables, quality of work, cross-team collaboration, and willingness to learn. A simple scorecard plus a brief debrief after each trial keeps feedback concrete. Obviously, this approach helps you boost confidence that you’re hiring for the seed stage you’re launching, not just chasing shiny resumes.
Blunders to avoid. Don’t let fleeting enthusiasm blind you to stacked responsibilities or to a candidate who is dinged by feedback and slow to adapt. If a couple of red flags appear–concerns about ownership, cadence, or fit with your silicon-backed culture–revisit the proposal, consider internal talent, or move on without overthinking the decision.
Prioritize ruthlessly: a practical framework to decide what to build next
Choose one feature that will move your core metrics the most and ship a minimum viable version within 14 days. Align roles, set onsite conversations with customers, and lock the decision down so you can execute without ambiguity.
Use a simple guide: assemble options, score each on impact to customers, effort, and confidence, then calibrate with real data. Maintain a ruthless, objective mindset, particularly in the early sprints, and cut options that don’t show a strong signal.
Create a four-dimension rubric: impact, learning potential, effort, and risk. Rate 1-5 in each, multiply impact by confidence, and divide by effort to produce a disciplined score. Gather tons of data from onboarding funnels, metrics, usage logs, and direct conversations with customers to inform the scores.
Define your daily execution: map responsibilities to team roles, assign owners, and set a weekly coaching loop that keeps the process supportive. Use a down-to-earth approach to tests, run onsite experiments when possible, and capture what you learn to boost future decisions.
Example scoring: Option A: Impact 4, Confidence 4, Effort 2 -> Score = (4×4)/(2+1) ≈ 5.3; Option B: Impact 3, Confidence 5, Effort 3 -> Score = (3×5)/(3+1) = 3.75. Choose A.
Wrap-up: monitor results with a lean metrics dashboard; if outcomes fail to achieve the target, pivot quickly and avoid wasted work. If you mightve underestimated some costs, calibrate and try again with a revised plan. Keep yourselves accountable within your guide and maintain a supportive, mindset-based approach to learning and growth.
Close the knowledge gap: establish mentors, peer groups, and repeatable learning rituals
Launch a structured short-term mentorship bridge for founders: pair with two mentors from sales and product, each with a track record in early-stage wins. Use a thumb-rule: 60-minute weekly call plus a 20-minute async check-in, over a 6-week cycle. Document what happened, what worked, and next steps in a shared log so intelligence travels fast. Hold focused discussions on a single topic–customer retention, pricing, or product-test results–so learning sticks and momentum stays high.
Create peer groups of 4-5 founders meeting monthly: In each session, one founder presents a 2-week outcome and 1 metric to move. The others provide critique and tactics. This together builds a network; hundreds of practical tips cross-pollinate across members. Document takeaways and tag next steps to a shared learn-runbook.
Design repeatable learning rituals: a daily 15-minute micro-lesson, a weekly 60-minute reflection, and a quarterly storytelling session that captures a concrete example of what happened and what came from it. Use a simple framework: What happened? What worked? What can we reuse next cycle? How will we test it? This cycle keeps momentum and reduces risk that ideas die on the shelf. figuring out what actually moves metrics is part of the practice.
Measure impact: track retention in onboarding, early sales conversions, and money invested vs. outcomes. Monitor what is happening in onboarding and sales to spot leading indicators. Set a target to convert a portion of mentors to ongoing advisory relationships; measure intelligence through a weekly one-liner and a monthly impact sheet. Acknowledge what came last and plan what comes next; celebrate when hundreds of ideas translate into action.
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