Ph

Phraisely.com, look up words by their description

Hacker News

Phraisely.com, look up words by their description

My writing process is a constant back and forth between jotting down a few words and a [insert] placeholder, as in the "I'll-complete-that-sentence-later-once-I-remember-the-correct-word" note. So, I built phraisely. It is a reverse thesaurus: you input a detailed description, and the app returns its best guesses. Compared to the existing solutions for this task, phraisely attempts to better understand the full context in your query, making it more accurate when looking up words using long descriptions. For example, if I search for "being home at night watching Netflix on the couch", results can contain "relaxing" and "unwinding" but also "binge-watching" since I mentioned Netflix. Bonus points when I get some slang in the results (e.g. couch-potatoing). The aim is to have an assistant that writes with you . But it doesn't do it for you . Overall, I believe that writing is a frustrating process. Frustration stimulates creativity. And creativity is precious. It is the first functioning version of the app. I'm regularly reviewing the output's quality and am working on tailoring it better to user needs. Also, my long term plan would be introducing languages other than English in the results. Although, the app can already understand some input text from other common languages, like Spanish.

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
68%68% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, context, using · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
9%9% 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

Similar products

Ph
Phraisely.com – look up words by their description50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Phraisely.com – look up words by their description

Hacker News5
Si
Simple bookmarklet to look up words33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple bookmarklet to look up words

Hacker News2
Mi
Minimum Description Length RNNs in PyTorch44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimum Description Length RNNs in PyTorch

Hacker News7
Sellygenie.com
Sellygenie.com48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Product Description Generator

Indie Hackers1$10/moai
Ta
Take a look at my startup Makerloom at www.makerloom.com45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Take a look at my startup Makerloom at www.makerloom.com

Hacker News1
HireVise
HireVise59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Introduce yourself with a job description.

Indie Hackerscommitment-side-project
Fi
Find Your Celebrity Look-Alike38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Your Celebrity Look-Alike

Hacker News2
A
A First Look at Practal38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A First Look at Practal

Hacker News2
BT
BTC Look30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BTC Look

Hacker News3
Wellbeingo
Wellbeingo20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Look after yourself.

Indie Hackerscommitment-side-project