Fl
Flowdash – Onboard, engage and delight every user, code-free
Hacker NewsFlowdash – Onboard, engage and delight every user, code-free
Flowdash helps SaaS businesses explain their product in-app, do feature announcements & drive adoption of the product as it evolves. Product & growth teams convert more trial-to-paid users by getting to the user's Aha! moment sooner all without a single line of code! Onboard, engage & delight every user, code-free. Join early-access at https://flowdash.ai.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, single, code · Missing: mac, agents, macos54%54% 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: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, growth · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon, users · Missing: plus, platform, intuitive15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
SimpleRemind45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Engage. Advocate. Educate.
Indie Hackers1$50/mocommunicationsitedynamics37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collect, monitor and user engage tool for your website
Indie Hackers1b2bBe
Be My First User27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Be My First User
Hacker News3Mo
Moshimoshi, Gravatar for user bios51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Moshimoshi, Gravatar for user bios
Hacker News2Pauket17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Engage.. Reward.. Grow
Indie Hackerscommitment-full-timeFr
Free HN User Favorites API Endpoint (MIT)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free HN User Favorites API Endpoint (MIT)
Hacker News4Bl
Blanqd – Fill in the blanks. Engage with your news44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blanqd – Fill in the blanks. Engage with your news
Hacker News2PodInbox31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Helping Podcasters Engage with Their Superfans
Indie Hackers1communicationv bucks free code cy2%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
v bucks free code Si
Indie Hackerscommitment-full-timev bucks free code I12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
v bucks free code f2
Indie Hackerscommitment-full-time