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Dynamic image size generator

Hacker News

Dynamic image size generator

Hi, Firstly, the link to the tool - https://github.com/DrRoach/DynamicImage I created a dynamic image sizing tool that allows images of any size to be generated on the fly. It's aims are as follows: a) Allow users of sites to upload images of any size without the site owner having to worry about their dimensions or having to resize them. b) Reduce load times for sites as images can be stored on their own dedicated server and be served in milliseconds. I'd love to hear some feedback as to what you think and whether you'd consider using this tool and if not, why not? All constructive criticism is welcome!

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Actual performance

21points
14comments
Made the leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, using · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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