The Startup DATE Analysis
What Users See Is Not
What Makes a Startup Succeed.
Applications Now Open Until Friday at 12PM CT
Apply Now To Find Out If Your Startup Is Worth Building? →
Launching a startup is a constant stress over budget, technical capability, and timeline. On top of that, you still have to prove whether anyone will actually pay for what you build. To secure investors and validate demand, you need a visual, working product customers can buy. Model to MVP helps you take your product from concept to launch quickly, avoiding costly mistakes without sacrificing quality.
One Discovery Call. The Analysis Every Startup Needs.
Invite-only discovery call. The form takes 10-15 minutes to fill and submit your application.The Startup DATE Analysis
The Way Forward
Two ways in. Most founders wait 6 to 9 months for a developer to hand them an MVP, then pay a tech bill every month for the rest of its life. Skip the wait and the weight! Both of these tiers start the same way: an honest answer about whether to build at all.
The POC goes to market and earns while the build carries on
To a working MVP, against the 6 to 9 months most developers take
What your tech stack costs to run, against the $1,000 most pay
The model, the code and the plan are yours either way
| What is included | Tier 1 · Start here VIP DecisionViability · Investor interest · Planning 30 to 90 days |
Tier 2 · The build Model to MVPEverything in VIP, included 90 days after VIP Decision |
|---|---|---|
Your DATE Analysis Team Four Specialists. One Person. Startups spend six figures assembling this team, then pay them to translate for each other. Here there is no handoff and no meeting to schedule, because everybody is already in the room. | ||
DData scientist - builds the data model your product runs on, and provides the formula behind every number you put in front of an investor | ✔ | ✔ |
AAI specialist - chooses or builds custom AI into the product, instead of bolting on an external tool you then pay for forever | ✔ | ✔ |
TTech officer - chooses and builds the stack, which is why your MVP runs on under $100 a month rather than $1,000 | ✔ | ✔ |
EEconomist - evaluates the viability and tests whether the market will actually pay, which is what makes the go or no-go call honest | ✔ | ✔ |
Product mock-up Your product on a functional screen before it exists. The thing you show people, built from your actual workflow rather than a template. | ✔ | ✔ |
MVP Budget - what your costs and revenues could look like A defensible budget, not a hope. You walk into an investor conversation with numbers you can back, and you know whether the build returns more than it costs before you spend a dollar on it. | ✔ | ✔ |
Build / No-Build Economic Analysis The market decides, not your gut. If the numbers say do not build this, you hear it in weeks and you keep the rest of your money. | ✔ | ✔ |
Clear build plan across all four work streams Scope, sequence and timelines you can hand to anyone | ✔ | ✔ |
100% portable - the plan is yours to keep Yours even if you don't continue the build with me | ✔ | ✔ |
Beta-test-ready Proof Of Concept (POC) Real moving parts an investor can push on, not a design with no data behind it | ✕ | ✔ |
You can start earning revenue before the MVP is finished Your POC is beta-test ready, so it goes on the market and starts making money while the build carries on | ✕ | ✔ |
Investor-ready MVP A working product, not just a picture of one | ✕ | ✔ |
Custom, proprietary data model The formula itself, built for your process, and you own it | ✕ | ✔ |
Risk mitigation, governance and compliance strategy The one thing investors look for | ✕ | ✔ |
Due-diligence-ready data Collection, cleanup, the whole unglamorous half. A model is only as honest as the data underneath it, and this is what keeps your case standing when an investor starts pulling on the numbers. | ✕ | ✔ |
Built in 90 days The 90-day count starts once the VIP Decision is made | ✕ | ✔ |
Tech stack built to run under $100 a month Roughly a 90% saving on what most founders pay to keep an MVP alive; scalable as startup grows | ✕ | ✔ |
MVP to Market Created post-MVP. Full app build and maintenance, quoted per engagement. | ✕ | ✕ |
I only work on limited MVP builds at a time, reviewed monthly. The VIP Decision comes first either way, so you will know whether an MVP is even worth building before anyone writes a line of code. | ||
See Some Samples
Every example here was built with consistent DATE Analysis at each stage of progress. From POC to full scope.
Multi-tool suite for creating social media content such as posts, carousels, newsletters, and video.
Performance analytics, PISI Score, and strategy with approved LinkedIn API integration.
Hockey performance and tracking system with data-led scoring and customized coaching for athletes.
Interactive gallery and shop for viewing and purchasing original oil paintings or downloads.
Virtual 3D Rubik's Cube learning tool, built using computer vision logic and solution algorithms.
The Cost of Waiting
The successful ones do not carry technical debt that cuts into their profits every day. The unsuccessful ones have already failed and disappeared from the market.
Every dollar in technical debt during building must be offset by investor or customer funds. Ones that don't hand over their dream to chance are the ones that thrive. So, what are you willing to do about your own startup dream?
The Startup Purgatory
Dozens of investor meetings with no funding approved, developers that require more money to build your product, disconnected marketing because the story changes every day. You don't need more of this explained to you. Startup success doesn't come from just building. It comes from building what is reliable, relatable, and right.
Invite-Only Discovery Call
How founders navigate through the maze of markets, tech-stacks, data, and investors using DATE Analysis.
We start by exploring your vision, finding benchmark scores, and will discuss exactly which aspects
can take your startup from concept to a VIP decision.
Applications close in
Friday at 12 PM CT.
Your Numbers
Most startups base decisions made on estimates they have received for building their apps and the expectations of market price and demand. This calculator shows you what you are leaving on the table when you make choices without using Data science, AI, Tech-tools, and Economic strategy (DATE) Analysis. You will use this number (Startup Score Gap) in our Discovery call and beyond to see exactly which decisions can move the needle on your startup growth.
Your Startup Trajectory
The discovery call is a high-touch, invite-only offering for founders and startup teams who are done struggling with costs of building and investor-indifference. You've seen what your Startup Score Gap is based on the estimates you've received and provided. A discovery call gives you the right toolkit to start your journey towards a lean, sustainable build to attract investor interest and revenues. I ONLY work with three founders at a time, so spots are limited.
No pitches. No generic suggestions. No "hire me to find out". Just plain talk.
✔ Invite-only discovery call. ✔ Direct contact with Dr. K. ✔ Limited clients.
Invite-only discovery call. The form takes 10-15 minutes to submit your application.About Dr. Kruti
I have advised 8+ startups, and 2 of those founders decided not to proceed with their builds after getting through the first phase, saving time and money. For several others, I was involved in model-to-market builds. I know where startup budgets quietly leak, and what makes investors perk up and take notice in the chaotic world of AI-driven startups.
Most founders are playing a game nobody taught them. Everyone around them has a view on what they should be building next, but few are asking what it will cost, what it will earn, and whether it should be built at all. They get plenty of advice and quotations on the dollar amounts the build will take but almost none on the economics of playing the long game. And that is how a good vision can end up with a bloated build budget and a pitch no investor trusts.
That is why I created the DATE Analysis Method: Data Science, AI, Technology, and Economic Strategy, run in tandem with each other through every phase. From initial idea to POC (proof of concept) to MVP (minimum viable product) to final build, each decision filters through DATE Analysis. A startup would need to hire four people to get this done and they speak different languages, causing undue delays in decision-making.
What if you could hire just one person who can do all these jobs, with no handoffs to slow down decisions? That is exactly what I bring to the table. With my background in economics, data science, AI, and technology, I go beyond just an advisory role; I get my hands dirty!
I work with founders who have vision but need a build that their investors, customers, and stakeholders can trust. This is precisely why I build apps that can earn revenues, grow over time, and perform consistently even on a lean budget.
I'm not here to cheer your startup idea.
I'm here to tell you if it's worth building.
Founder, Analytics TX, LLC
BUSINESS BOOKS AUTHORED
PUBLICATIONS & PRESENTATIONS
Build Cost Savings to Date
Podcast Guest Appearances
Veriten C.O.B. Tuesday
Inspired Money Live
The Fractional Edge Podcast
Take it from the Ironwoman
Frequently Asked Questions
Investor Interest
Why aren't investors responding to my startup?
Investors need to see that the market will actually pay. CB Insights analyzed 431 VC-backed companies that shut down since 2023 and found poor product-market fit cited in 43% of them, so investors have good reason to ask that question before they commit. This is one of the first things any economist or business strategist should test before encouraging a founder to start building and investing time and effort into an app. If the market fit is weak or not demonstrated clearly, investors are less likely to respond to your app.
Why do investors keep asking for more before they commit?
Carta's 2025 data on US software companies puts the median time from Seed to Series A at 2.2 years, and finds that the time between rounds has gotten considerably longer in the past two years. With that much time and millions of dollars at stake, an investor wants to see a working product, real data, and numbers that hold up under questioning. A design with no data behind it gives them nothing to test, so they ask for more before they commit.
Build Costs & Timelines
Why do developer quotes come back higher than I expected?
Developer time is expensive, and the quote is only one part of the cost. The Bureau of Labor Statistics reports a median annual wage of $135,980 for software developers (May 2025). Most founders then wait 6 to 9 months for a developer to hand them an MVP and pay a tech bill every month for the rest of its life. However, a quote can't tell you whether the build is worth creating, so a viability analysis becomes critical prior to accepting or rejecting any developer quote.
How do I lower my build cost without lowering quality?
Assuming that you have done a detailed analysis of your product's fit in the market, every dollar in technical debt during building must be offset by investor or customer funds. McKinsey reported that CIOs estimate tech debt at 20 to 40 percent of the value of their entire technology estate in large financial services and technology companies, which impacted their ability to launch newer products. While these are not startups, the report shows what debt does to a technology budget. Cut what doesn't need to be built and what costs you every month afterward. Build a pilot or proof-of-concept version to do a live market test at the lowest cost before even creating a MVP. Choose a tech-stack that is relatively inexpensive and meets your immediate needs rather than overinvesting in storage or server space you won't need for at least another year or two. Do a proper build-vs-buy analysis when deciding on AI tools for your product. An MVP, and then final product built based on these principles allows for a lean yet reliable profitability for your app in the long run.
Can an MVP really be built in 90 days?
Yes, once the scope is defined before the build starts. The Project Management Institute lists an ambiguous scope definition, no formal requirements management, and an inconsistent process for collecting requirements among the top causes of scope creep, and scope creep is what pushes a delivery date out. A founder who hands a developer an idea instead of a defined scope is exposed to all three. This is why starting with a clear VIP (Viability, Investor interest, Planning) Decision ensures that the scope, sequencing, and timelines are created with clarity and reliability.
Expertise and Hiring
What does it cost to hire a data scientist, an AI specialist, a technology officer, and an economist?
Here is what these roles cost when you hire them separately. The U.S. Bureau of Labor Statistics reports a May 2025 median annual wage of $120,230 for data scientists, $124,720 for economists, and $175,140 for computer and information systems managers, the occupation that includes chief technology officers. Payscale puts the average base salary for a management consultant with AI skills, the closest match to an AI advisor, at about $132,400. Those four roles come to roughly $552,490 a year, before you add a development team.
Why does a four-person team slow my decisions down?
Because every added person adds people who have to agree. Two people have one line of communication to keep aligned. Four people have six. A decision that needs input from a data scientist, an AI specialist, a technologist, and an economist has to pass through all of those lines, and these people speak different languages, so each handoff also has to be translated. That is where the undue delays in decision-making come from.
Build or No-Build
How do I know my startup is worth building?
Before you build anything, test whether enough customers will pay your price. Then count how many years it takes for your revenues to cover the cost of the build and your other annual costs of doing business. Your revenue grows each year as you add subscribers. If that takes too many years, the build is not worth making as planned. In the results shown above, you can see the estimate of the number of years it would take for you to break even on your app building costs.
What if the answer is "don't build"?
Then the plan as it stands doesn't pay for itself, and you learned that before spending the build money. Look at which input fails: price, subscribers, expertise costs, build cost, or operations costs. If a realistic change fixes it, such as a lower build cost, a different price, or a narrower scope, run the numbers again. If no realistic change does, not building is the result, and the money you didn't spend stays with you.
The Framework
What is DATE Analysis?
DATE Analysis stands for "Data Science, AI, Technology, and Economic Strategy Analysis", which runs in tandem with every phase that a startup can expect to go through. From initial idea to POC (proof of concept) to MVP (minimum viable product) to final build, each decision filters through DATE Analysis. While users mostly interact with the app interface, DATE analysis supports the actual growth of the startup through each phase with stability and informed decision-making.
What is the Startup Score Gap?
Both your Startup Score and DATE Score compare the profit you are likely to make in your first year with the profit you want. A score of 50 is the break-even point, where costs and revenues are equal for a net profit of $0. A score of 100 means you reach your desired profit, and scores can run above 100 or below 0. Your Startup Score uses your own estimates, including your expertise and build costs. Your DATE Score uses the DATE Analysis estimate in place of those two costs. The Startup Score Gap is your DATE Score minus your Startup Score, in points: how much your score could rise if your expertise and build costs matched the DATE estimate. It is 0 when your costs are already at or below that estimate. Time Saving is how many years sooner your build pays for itself at the DATE estimate.
Which assumptions in the Startup Score Gap matter most?
Every number you enter to calculate your Startup Score & DATE Score depends on the assumptions you are making about your first year's performance and costs. So use your best current projections, existing estimates, or real spend instead of random numbers to get the most accurate outcome. Product price, number of subscribers, costs of expertise and building, and your desired profit are all key inputs that determine your score gap. The build payoff estimate treats expertise and build costs as one-time costs, assumes your subscribers double each year, and assumes operations costs grow each year by your first-year amount. A detailed DATE analysis can reduce costs and increase revenues so your current DATE Score may improve even more with more precise numbers and forecasts.
What is the VIP Decision?
The VIP Decision is the first phase of working together. VIP stands for Viability, Investor interest, and Planning. It runs 30 to 90 days and ends with a decision on whether to build based on a detailed DATE Analysis of your business and product. The deliverables are a product mock-up, an MVP budget, and a build (with plan) or don't-build recommendation.
What is Model to MVP?
Model to MVP is the second phase, and it includes everything in the VIP Decision. It takes up to 90 days after the VIP Decision for implementing the plan presented in phase 1. The deliverables are a beta-test-ready Proof of Concept (POC); a custom, proprietary data model; a risk mitigation, governance and compliance strategy; due-diligence-ready data, and an investor-ready MVP. The POC can go to market before the MVP is finished. MVP-to-Market is the third phase that starts after MVP is ready and is a separate customized engagement plan based on investor interest, market performance, and other budgetary criteria.
Who owns the plans and the MVP build?
You do. Any analysis, proprietary models, customized code, and implementation plans that are created and used as a part of either Tier 1 or Tier 2 engagements belong to your company.
Who is the discovery call for, and how do applications work?
The call is for founders and startup teams in the US who are done dealing with costly decisions and disinterested investor meetings in pursuit of building their dream app. It is invite-only, and applications close every Friday at 12 PM CT. I work with no more than 3 founders at a time and review each engagement monthly, so a spot opens when one ends. The form takes 10-15 minutes. I read every application personally, and you will hear back within 2 business days. If the call isn't the right fit right now, I'll tell you directly. A copy of your application is emailed to you after you submit it, for your own reference.
Sources
CB Insights. Top reasons startups fail. https://www.cbinsights.com/research/startup-failure-reasons-top/
Carta. (2025, July 24). "Planning to Raise VC Every 18 Months Is Planning to Fail." https://carta.com/data/linkedin-time-between-rounds-ai-vs-non-ai/
Larson, R., & Larson, E. (2009, October 13). Top five causes of scope creep. Paper presented at PMI Global Congress 2009, North America, Orlando, FL. Project Management Institute. https://www.pmi.org/learning/library/top-five-causes-scope-creep-6675
Payscale. Management Consultant Salary with Artificial Intelligence (AI) skills. https://www.payscale.com/research/US/Job=Management_Consultant/Salary/2821887b/Artificial-Intelligence-AI
U.S. Bureau of Labor Statistics. Occupational Outlook Handbook: Software Developers. https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm
McKinsey Digital. "Demystifying digital dark matter: A new standard to tame technical debt." https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/demystifying-digital-dark-matter-a-new-standard-to-tame-technical-debt
U.S. Bureau of Labor Statistics. Occupational Outlook Handbook: Data Scientists. https://www.bls.gov/ooh/math/data-scientists.htm?id=1940
U.S. Bureau of Labor Statistics. Occupational Outlook Handbook: Economists. https://www.bls.gov/ooh/life-physical-and-social-science/economists.htm?catid=21
U.S. Bureau of Labor Statistics. Occupational Outlook Handbook: Computer and Information Systems Managers. https://www.bls.gov/ooh/management/computer-and-information-systems-managers.htm
Invitation Only
How founders navigate through the maze of markets, tech-stacks, data, and investors using DATE Analysis.
Applications close in
Friday at 12 PM CT
Invite-only Call • Limited Spots
Fill out the application below. This call is for founders and startup teams in the US who are done dealing with costly decisions and disinterested investor meetings in pursuit of building their dream app. If approved, you'll receive a private invitation to the Discovery Call that Will Change Your Startup Story.
✔Takes 10-15 minutes. ✔Every response read by Dr. K. ✔Decision within 2 business days.
Every application is reviewed personally by me (Dr. Kruti Lehenbauer). If the Discovery Call isn't the right fit for where you are right now, I'll tell you directly. I won't waste your time.
Take your time with these questions. I'm looking for founders who are just as invested in their own startup success as I am. Your answers are how I know that.