Id

Idea ramen – a little different domain name generator

Hacker News

Idea ramen – a little different domain name generator

When I am searching for a domain name I usually have dictionary, thesaurus and registrar site open. I constantly switch between these to make up a nice domain name and see if its available. IDEA Ramen combines dictionary, thesaurus and domain lookup in one app - You can do the usual domain lookup for any domain extension - You can get synonyms for any dictionary word by adding + sign eg: https://idearamen.com/?q=world%2B - Or combine words using ? to create new words (get??? or ???something or my????something??) eg: https://idearamen.com/?q=get%3F%3F%3F%3F%3F - By default it does a lookup for most common TLDs but you can provide fully qualified names like IncredibleSydney.com.au to do a specific TLD lookup - At any time you can tap on the generated or your provided word to do a dictionary lookup - You can bookmark finds and comeback to it later I am working on few more algorithms to generate never seen (non existent) but memorable, short and easy to pronounce words. To be released in few weeks. I will also be adding more config where you can choose your own resolver etc.. Please note that Lookup happens via DNS resolver over https using 1.1.1.1 (Cloudflare public DNS) so you will have false positives when DNS entry is missing or if the name is an invalid name (reserved words etc). All feedback, suggestions and wishes welcome. Hope it's useful.

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
50%50% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using, open · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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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