OpenAI 2026 hackathon

SLASH

Space is filling up with junk. Over 130 million debris fragments circle Earth right now, and a fragment as small as a golf ball hits with the force of a grenade. We deorbit debris with laser.

Solo project by Dimitri Ionescu · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,944 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

The description states that SLASH is a frontend-only web application for simulating laser deorbiting of space debris using a mountaintop laser in Crete. The author, Dimitri Ionescu, built it as a companion to his ORBIT VEIL satellite tracker and published it on the open web with no backend or authentication. It allows users to select any object from a live catalog, compute visibility passes, and simulate engagement parameters including perigee drop and deorbit campaign duration.

The project appears to be an experimental tool for demonstrating feasibility of laser-based orbital mechanics, not a commercial product. The author claims to have validated physics models in Python and ported them into the browser using SGP4 propagation, GLSL shaders, and Three.js. There is no evidence of revenue, customers, or traction beyond the self-reported demo.

The single most important open question is whether this tool represents a feasible technical approach to orbital debris mitigation, or if it is merely a simulation for educational/proof-of-concept purposes. The author states that the physics is validated in Python but does not provide evidence of real-world testing or deployment.

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What The Product Actually Is

The description states that SLASH is a "deorbit calculator" that allows users to:

  • Pick any object from a live CelesTrak catalog (18,000 objects)
  • Compute visibility passes over the Sitia ground station in Crete
  • Simulate engagement parameters including atmospheric transmission, beam spot on target, fluence, ablation impulse, delta-v, and perigee drop
  • Visualize the 3D orbit of the selected object with a moving day-night terminator, laser beam, and time slider
  • Estimate full deorbit campaign: passes to threshold, days, total energy

The tool is described as frontend-only, built with Vite, React, TypeScript, Three.js, Tailwind, and uses SGP4 propagation via satellite.js. It runs entirely in the browser with Web Workers for orbit computations.

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Positioning & Claim Evolution

The description states that SLASH positions itself as a tool to demonstrate whether "a solar-pumped Nd:YAG laser on a mountaintop in Crete" can nudge space debris into reentry through photon-by-photon interaction, without contact or new debris creation. It is described as a companion to the author's ORBIT VEIL satellite tracker.

The claim evolution appears to be from "research codebase" to "open web calculator", with the author stating he had already validated physics in Python and wanted to make that answer accessible to anyone. The positioning seems to be educational/proof-of-concept rather than commercial, as it is described as having "no backend and no keys".

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Target Customer & ICP

The description states that SLASH is a web-based tool for users who want to simulate laser deorbiting of space debris. It allows selection from 18,000 objects in the CelesTrak catalog, suggesting it targets anyone interested in orbital mechanics or space debris tracking.

There is no evidence of specific customer segments or personas beyond "anyone" who might be interested in the simulation. The tool appears to be self-service with no identified target customer profile beyond general interest in space debris mitigation.

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Business Model & Pricing Evidence

The description states that SLASH is published on the open web with "no backend and no keys". It is described as a frontend-only calculator with no revenue streams mentioned. There is no evidence of pricing, subscriptions, or monetization methods.

The author mentions it was submitted to a hackathon and is presented as an experimental tool rather than a commercial product. No business model or pricing evidence is provided beyond the self-reported description.

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Technical & Delivery Signals

The description states that SLASH is built with:

  • Frontend-only stack: Vite, React, TypeScript, Three.js, Tailwind
  • Orbit propagation via SGP4 through satellite.js
  • Web Workers for 18k-object field computations
  • Custom GLSL vertex shader cubic-Hermite interpolation between SGP4 samples
  • Physics models ported from validated Python research codebase

The tool is described as running entirely in-browser with GPU interpolation to handle the computational load of 18,000 SGP4 propagations per frame. It includes specific technical details about atmospheric transmission (Beer-Lambert law), beam spot calculation (M-squared diffraction + pointing jitter), and ablation impulse calculations.

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Traction & Maturity Signals

The description states that SLASH is a demo published on the open web with no backend or authentication required. The author mentions it was submitted to the OpenAI 2026 hackathon, but provides no evidence of adoption, usage metrics, or traction beyond the self-reported demo.

There is no evidence of revenue, customers, user base, or market traction. The tool appears to be a proof-of-concept demonstration rather than a mature product with measurable impact or adoption.

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Competitive Context

The description states that SLASH is positioned as a tool for demonstrating laser-based orbital debris mitigation using solar-pumped Nd:YAG lasers. It claims to be the first of its kind in this specific approach, with no direct competitors mentioned.

The author references existing space debris tracking tools like ORBIT VEIL but does not identify other similar deorbit simulation tools or platforms. The competitive landscape appears to be largely unexplored in the description beyond the author's own work.

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Key Risks & Red Flags

The description states several technical risks and limitations:

  • Physical uncertainty: published Cₘ values span an order of magnitude
  • Geometry constraints: transmission at 10 degrees elevation is only 0.02 vs 0.51 at zenith
  • Pointing jitter constraint: not aperture, but pointing jitter is the binding constraint
  • Failure modes: early versions showed perigee rising after burns (absurd for deorbit tool)
  • The tool treats Cₘ as an adjustable research-grade estimate rather than fact

There are no evidence-based risk assessments beyond the author's own technical observations. No market risks, competitive threats, or scalability concerns are documented.

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Diligence Questions To Ask The Founders

  1. What specific validation has been done on the physics models beyond the Python research codebase?
  2. How does the tool handle uncertainty in ablation coupling coefficients (Cₘ) that span an order of magnitude?
  3. What is the actual energy requirement for deorbiting different types of debris objects?
  4. Has there been any testing or experimentation with real laser systems at similar scale?
  5. What are the practical limitations of this approach for large-scale orbital debris mitigation?
  6. How does the tool account for atmospheric variability and weather conditions that could affect beam transmission?
  7. What is the timeline for potential deployment of such a system, if this remains a simulation?
  8. Are there any partnerships or collaborations with space agencies or debris tracking organizations?

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Investment/Partnership Verdict

The description states that SLASH is an experimental tool built by one person (Dimitri Ionescu) as a demonstration of feasibility for laser-based orbital debris mitigation. It is described as a frontend-only calculator published on the open web with no backend, authentication, or monetization.

There is no evidence of commercial traction, revenue, customers, or market validation beyond the self-reported demo. The tool appears to be an educational/proof-of-concept demonstration rather than a commercial product ready for investment or partnership.

The author states that the physics is validated in Python but does not provide evidence of real-world testing or deployment. The approach remains experimental with significant technical uncertainties and limitations noted by the author himself.

Given the lack of evidence for traction, revenue, customers, or market validation, and the experimental nature of the tool, there appears to be no basis for investment or partnership at this stage. The description indicates this is a research demonstration rather than a commercial product.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.