Pl

Plume a "Linktree for Startup Fundraising"

Hacker News

Plume a "Linktree for Startup Fundraising"

Early stage fundraising can often be a repetitive cycle between investors and startups. Cold emails should be short yet captivating, decks may or may not be included and the investor will definitely need more information and a meeting before making an investment. Plume aims to be a single URL that can be included in cold emails and acts as a gateway to the inner workings of the startup. On a single, short page, startups can include their pitch, demo videos, links to prototypes, intro videos to team members and calendar links to schedule a meeting. From the beginning, an investor can now make a more educated decision about whether to persue the investment in less time. Startups can reuse the link to dramatically reduce the amount of time and effort required when fundraising. The linked prototype page aims to give a feel of what such a Plume page may look like including a pitch, short video and introduction to me - the creator. My aim is for you to leave with a better feeling and understanding of the startup so you can make a better informed decision if the idea is viable or not. This is really MVP stage at the moment but if you're a startup interested in creating your own Plume page or an investor who would like to start receiving Plume profiles please sign up to be notified when we open the beta. Thanks and happy hacking, Ewan

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, single, open · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
15%15% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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