Hafy – people helping people

Hafy – people helping people

Indie Hackers

Real-life help, on demand – people helping people.

Hafy was born out of a simple real-life moment: assembling furniture for my girlfriend and realizing how exhausting and complicated it can be — especially for someone who's sick, alone, elderly, or a single parent.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: single · Missing: mac, agents, macos
35%35% 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
32%32% 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, revenue
22%22% 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
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

WeMingo
WeMingo32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Helping people overcome their shy bladder syndrome.

Indie Hackers
La
Layoffs.at – helping people laid off find work50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Layoffs.at – helping people laid off find work

Hacker News95
GoLuggageFree
GoLuggageFree39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Helping people travel without luggage

Indie Hackers
ProDecide
ProDecide27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Helping people make life decisions.

Indie Hackers
Mintme
Mintme50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mintme revolutionizes how people help each other by allowing

Indie Hackerscommitment-full-time
PadeeSpace
PadeeSpace35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Help. Find People. Succeed Together.

Product Hunt+1
In
Intents – Get linked with people that see what you see51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Intents – Get linked with people that see what you see

Hacker News2
Fa
Famous people who have died by overdose58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Famous people who have died by overdose

Hacker News1
St
StreetPass – Find your people on Mastodon55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StreetPass – Find your people on Mastodon

Hacker News1
Tw
Tweetpleth - Where are people tweeting?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweetpleth - Where are people tweeting?

Hacker News1