Th
Thoughts on Flash in 2023, in Flash, in 2023
Hacker NewsThoughts on Flash in 2023, in Flash, in 2023
Spent the past few days making this - something halfway between a demoscene program and an experimental film. I wanted to celebrate the unique computer-y aesthetics of flash, while showing off some weird and obscure tricks I've picked up over the years since it's been deprecated. (Also, some maybe-not-subtle commentary about AI-art and the tools of the future)
Share cardActual performance
267points
124comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: computer · Missing: mac, agents, macos74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fl
Flashover - online flash decompiler47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flashover - online flash decompiler
Hacker News2flash.pm17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flash preservation project
Indie Hackers1advertisingFl
Flash cards for programmers60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flash cards for programmers
Hacker News4In
Interview with Mat Annal from Nitrome (Why Flash Died)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interview with Mat Annal from Nitrome (Why Flash Died)
Hacker News1ou
our online game made with Lisp/Erlang/Flash73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
our online game made with Lisp/Erlang/Flash
Hacker News4Cr
Crowdsourced Thoughts from Uber Drivers in London53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdsourced Thoughts from Uber Drivers in London
Hacker News1Th
Thoughts as NFTs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thoughts as NFTs
Hacker News3A
A Penny for Your Thoughts39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Penny for Your Thoughts
Hacker News3Pe
Penny for Your Thoughts40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Penny for Your Thoughts
Hacker News4DDHueAlert36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flash Philips Hue Lights Bulbs When Datadog Monitors Trigger
Indie Hackers1utilities