Hari Projections

The map your company needs.

See where your company is headed in the next 18 to 24 months. Already used by VCs to evaluate founder decks. Now available to the founders.

A Hari projection cuts through the fog of ambiguity. You can see the most likely path your company takes and the decisions you'll need to make. You'll know when to make them and what to do next. It's a pathfinding approach that gives you confidence.

What founders and investors say

"You found things we missed when we first looked at this company."

Venture capitalist

"This validates an intuition I didn't have words for."

Series B founder · climate & industrial software

"You identified a sales vertical we hadn't seen."

Seed founder · applied AI

Names withheld by request. Confidentiality is part of the work.

The problem

Even the right model misses what's moving underneath.

The founders I work with already know not to project from a TAM number. They build bottom-up. They model unit economics. They map milestones to funding. The plan is rigorous and the math holds.

What it can't show is the structural picture. The forces moving in the market that shape whether the milestones land when the model says they will. The signals only visible from outside the company. The questions the next investor is going to ask that aren't on this round's deck.

The cost is rarely the plan. It's the gap between the plan and the path the market actually takes. Raises that take six months longer than the model assumed. Sales channels that mature on a different curve. Investor questions you didn't see coming. Team gaps that surface after they've cost something.

Not having this view costs money and time. The window for the opportunity can pass.

How it works

Four steps. Three iterations. One map.

01—Send the deck.

You send a current pitch deck and any context that's relevant. We meet for 20 to 30 minutes to confirm the inputs.

02—First run.

I run the model. You see the analysis and correct anything stale, missing, or wrong.

03—Second and third runs.

Each pass sharpens the picture against your reality. By the third run, the analysis lines up with your read and surfaces what wasn't on it.

04—Delivery.

You receive the report and the dashboard. We talk through what to do with it.

What it isn't

A financial model. Scenario planning. A prediction. A one-shot AI prompt.

What it is

A structural projection. Built on a model trained over the last year against roughly 350 founders, investor signal, market structure, and the questions VCs are actually asking. Self-improving with each run. Roughly right rather than precisely wrong.

What's included

Twelve sections. One picture of the path.

Every projection is bespoke. The structure is consistent so the report is readable by your team, your board, and any investor you choose to share it with.

01
Executive Summary

Bets, strengths, fragile links, and the gap between market consensus and what your company can actually do.

02
Primary Causal Chain Analysis

Each link, time sensitivity, transition points, time-to-outcome and likelihood estimates.

03
Critical Vulnerability Analysis

Why the thesis might break, why it might hold, what to do about it.

04
Decision-Triggering Thresholds

What to watch, when, and how to know if it's accelerating or being delayed.

05
Feedback Loops

Second and third-order effects from reinforcing and balancing loops.

06
Historical and Current Analogs

Direct parallels and structural cousins. Where they map, where they diverge, what those companies did.

07
Competitive Analysis

Direct, adjacent, and platform competitors.

08
Key Milestones

Expected timing and significance.

09
Synthesis of Chain Interactions

How the chains compound or confound when they run together.

10
Recommendations

Concrete, sequenced things to act on this week or this quarter.

11
Intellectual Honesty

What would change the assessment, how to know if it's changing, and how to adapt.

12
Team Analysis

Where the team has been, what they were solving for, and how the position and performance of those companies maps to the challenge in front of you.

A separate VC module exists for investors. The page you're on is the founder version: strategic and operational.

What it looks like

A few pages from real projections.

Anonymized excerpts in the visual style of the actual reports. Company names, sectors, and numbers are redacted or replaced. The structure and the way the analysis lands on the page are accurate.

Excerpt one — Primary causal chain page showing three sequential links with transition windows and likelihood bands.
Excerpt 1 — Causal chain page
Excerpt two — Decision-triggering thresholds table with five indicators and accelerating versus delaying signals.
Excerpt 2 — Decision-triggering thresholds table
Excerpt three — Dashboard fragment with three indicator tiles tracking the items identified in the report.
Excerpt 3 — Tracking dashboard fragment
About

Background.

I'm Joseph Logan. Seventeen years coaching founders of scaling companies. Worked with investors. CEO and COO of growing companies before that. Roughly 350 founders in.

Hari started as a personal question. In late 2024 I built a model to look honestly at what AI was going to do to the kind of work I and the people I coach actually do. The answer wasn't comforting. I followed it anyway.

The model kept tracking. Oracle, Amazon, Atlassian, Meta, Block. The layoff waves arrived roughly when and roughly how the structural picture said they would. I ran the analysis monthly on Substack. CEOs began using it to brief their teams for 2026 planning.

I pointed it elsewhere. The Colorado Startups leaderboard, five years of quarterly data on the top fifty early-stage companies in the state, produced a strong read. VCs started sending me decks and asking what I thought. The model produced briefs they wanted to keep using.

The work I'm proudest of is what comes next: briefing investors with a structural picture they don't get anywhere else, and preparing founders to grow their companies on terms they choose.

Track record

The projection that started it.

In August 2025, when the consensus held that meaningful AI-driven job displacement was 3–4 years away, a Hari structural analysis identified the causal chain and projected the timeline at 12–18 months. The chain has been tracked publicly, link by link, every month since. The Projection Ledger is the full record.

Projection issued
August 2025
Signal score
4.65–4.75 / 5.0
Q1 2026 checkpoint
Confirmed — ahead of base case
View the full Projection Ledger →
Pricing

One offer. Plain terms.

$25,000 total
Limited-time introductory price
  • $12,500 to begin
  • Three iterations with 24-hour feedback loops
  • Final $12,500 due three days after final delivery
  • 15 to 20 page projection report
  • Tracking dashboard for the indicators in the report
  • Founder version (strategic and operational)

Introductory pricing ends end of Q2 2026. Add-ons available for fundraising support, M&A consideration, and significant pivots. Quarterly renewals are possible after the first projection.

What now

What you don't yet know is the point.

I can tell you the likelihood of closing your round by the time you said you would. I can tell you what that path looks like, how to shorten it, and what could lengthen it. Founders don't usually have this information. The model does, because I know how to ask the questions in a way it can answer them.

If that's the question on your desk this week, the next move is simple.

Get in touch

The best way to start is a conversation.

A Hari projection is signals intelligence, not prediction. It is not financial advice. The intent is to be roughly right rather than precisely wrong. No outcome is guaranteed. These are projections of the paths most likely to unfold based on available information at the time of writing. Recipients act at their own discretion.