Insightify
Indie HackersKnow what customers love — and what to fix — automatically
Most Shopify merchants collect reviews for social proof but never actually read them all. Insightify uses AI to surface what customers love, what needs fixing, and what to act on next. Just launched feedback welcome!
Visit productView on Indie HackersMay 1, 2026commitment-side-projectemployees-under-10founders-code-yes
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released18%18% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
RanchersList41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know Your Rancher, Love Your Meat
Product Hunt+3Smilejet56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get to know your customers, before it's too late.
Indie Hackers1$1,000/moaiAthena34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know what to Fix. Fix it first!
Indie Hackerscommitment-full-timePageWisr69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find what’s costing you customers, and fix it fast
Indie Hackers1aiProvoon53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your customers already love you. Turn that love into proof
Indie Hackers1$30/moai
FileFixer57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fix any MicroStation file automatically!
Product Hunt+3AR
ARRIVE SDK – Know When Customers Are Arriving52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ARRIVE SDK – Know When Customers Are Arriving
Hacker News17An
Analyze and fix your code automatically46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyze and fix your code automatically
Hacker News8Au
Automatically find MongoDB inconsistencies and fix dead references66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatically find MongoDB inconsistencies and fix dead references
Hacker News2Sh
Show HN - Know why your customers are calling47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN - Know why your customers are calling
Hacker News1