The rendering engine for modern investment information.

Founder: Tyler Lastovich – Email ****Twitter LinkedIn Product Hunt

Started: June 2020

Funding: No external capital raised (not seeking)

Stage: Late-development

Problems

<aside> ⛔ Many say 'do your own research' without offering any help on where to start.

</aside>

<aside> ⛔ Complex investing strategies and jargon make people feel dumb causing them to make emotional, avoidable mistakes.

</aside>

<aside> ⛔ Investing misinformation and incorrect assumptions lead people down dangerous paths.

</aside>

<aside> ⛔ Analyzing raw data is difficult, time consuming, and error prone.

</aside>

Goals

<aside> 💰 Be the frictionless link anyone can send to describe an asset.

</aside>

<aside> 💰 Provide users with actionable information that solves their current problem.

</aside>

<aside> 💰 Centralize the absolute best knowledge –regardless of medium, asset, or market.

</aside>

<aside> 💰 Be an early authority on decentralized organizations and data prodcution.

</aside>

<aside> 💰 Build primatives for a more open web, with extensibility in mind.

</aside>

Basics.

ILTR will act as the home base to find understandable investing information. Investing today works on high levels of information asymmetry, both in terms of access to data and concepts. ILTR will break from that model opening up its data and instead relying on structured visuals to offer a competitive edge.

Why it wins.

The world is leaning into more open and transparent processes. Web3 is a trend that gives everything a monetary value. Creating a clear understanding for this value will be very important for all involved. ILTR is postioned as an in-between service to talk with both old and new money.

How?

Interpretation and Curation (All levels)

Asset pages
- All information composed onto one detailed page
Produce analyst commentary; use AI to break complexity into accessible parts.
Focus on durable content that gets updated, not replaced. Offer asynchronous value.
Produce sentiment data for both long-term investing and trading.

Participation (Entry level)

NOT another feed to check.
Let users build their own trusted groups (cohorts), making it easier to stick with investing goals.
Allow users to contribute comments, predictions, and sentiment.

Research (Advanced)

Content: Deep, original productions into emerging technologies.
- 'Living' works that continue to expand over time.
- Reference quality works
- Easy to comprehend infomatics
Virtual funds
- Investing strategies that are thematic, interesting
Company financial models (rendered from Primary data)
Alerting, sentiment analysis, templates