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[DD] - Figma Ligma FIG

BULLISH by u/trash-trader | May 31, 2026 | 1↑ 0 comments | 33 views | VIEW ON REDDIT
$FIG
$FIG FIGMA, INC. TECHNOLOGY EQUITY SIMULATION
$18.84
+0.21 (+1.15%)
LAST PRICE ยท 15 MIN DELAY
DAY CHG +1.15%
5D CHG -1.28%
30D CHG -8.83%
AI SUMMARY โ€” Figma (FIG) is positioned for significant upside as market digests IPO share overload and recognizes the company's dominance in collaborative digital design software with strong fundamentals (40% YoY growth, $1.6B cash, debt-free). Key risks include valuation multiple compression, AI disruption concerns, and seat-based model vulnerability if design workflows fundamentally change.
TICKERFIG USERu/trash-trader
RATING BULLISH ENTRY $25.50
POSITION 392 sh SYN BOOK VAL $9996.00
CURRENT $18.84 P&L % -26.14%
CURR VAL $7383.32 P&L $ -2612.68

A lot of people aren't ready to hear this, but FIG stock has a lot of room to run and can pick up some unexpected (for some) momentum down the line. I'll try to be brief, but I'm terrible with words - I didn't pay attention in english class.

First, let me address the bears. Each bearish take I read on Figma is maximum regarded and it's the same boring regurgitated takes over and over again which somehow all - and lazily - conflate what Figma and any new LLM providers do as a core business. "AI DISRUPTION RISK, SEAT-BASED MODEL BREAKING, -X% OFF ITS IPO HIGH, ITS GOING TO ZERO, I DO WITH CLAUDE DESIGN WHAT I USED TO IN FIGMA HA HA HA". Alright squirt, take a sit while daddy lays it out for you while you don't have a novel thought in your head.

Yes, Figma is down a lot. Yes, anyone with a brain knew there was going to be a boom bust IPO cycle. No, its not because they're failing as a business. If you bought at the highs of the IPO or have gotten shaken out of your shares, feel sorry for you bro - there is still money to be made. The truth is the market has some shares to digest as they've become public this past year.

Alright, now that I've put the bears in their place, let me explain why Figma is going to blow some heads in the coming future. I expect this company to become irrationally valued once this thesis catches on (if it doesn't my wife is going to kill me).

It's important to understand that Figma, with Dylan Field at the helm, has done - at least - two incredibly impressive things:

  1. Built a highly performant multiplayer collaboration web tool
  2. Built digital design software on top of this stack that was/is leagues ahead of any competitor (then and now) that everyone loves and uses.

Figma is objectively the gold standard of widespread collaborative digital design software outside of niche areas which competitors like Adobe still dominate in. They are everywhere and if you're in a company producing software, you probably use them.

So, let me summarize so far:

Now, let me do you the favor - so you don't have to think - of laying out the grand vision of Dylan Field for Figma that is going to ๐Ÿš€๐Ÿš€๐Ÿš€ the company into tendieland.

But before that, a quick note on Dylan Field. If you aren't aware of Dylan, he is nothing short of a generational leader. His vision, tenacity, ambition, etc, to succeed with Figma are what we call rare. To put it bluntly, this guy basically wants to be another Steve Jobs while being a humble nice guy who is incredibly smart. He's by all measures a rare leader and better than you or I will ever be. He's the type of leader you believe in, not doubt. So much so, he believed in himself and dropped out of Brown to start Figma after receiving a grant from Peter Thiel who also believed in him (look how that turned out so far).

Ok, so, Dylan Field good guy, built a great company, where does it go from here? (๐Ÿš€)

Have you guys heard of LLM's/AI? Like the ones Anthropic (and others) build? The ones where companies scraped the internet of information and code and ran it through some fancy algorithm to give us some nice slop that generally works well when you use your brain a little bit? Not going to make the gardener a brain surgeon, but generally a net positive for access to information - much better than google searching.

Ok, cool, you have. So, you must also be aware that the algorithms that train these things basically summarize its training data (can be any data - public or p