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A (funny) rap song about tech recruiters

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A (funny) rap song about tech recruiters

Here is the song link: https://www.youtube.com/watch?v=_w9taH8Kkvw Quick background on the project: I'm a full time programmer and I love making rap music. I see a lot of humor in the profession/industry, and thought it would be fun to combine the two. In terms of monetization, I currently am doing the following: 1. Paid sponsors: depending on the level of contribution, they could get a shoutout/posting in the YouTube description, or an annotation on the video 2. Donations ( https://www.patreon.com/stdoutrap ) 3. Swag gear (in progress) I am also toying with the idea of getting proprietary beats and making an album (I've gotten a few comments from people saying they would buy an album). I would love to get some feedback on: 1. How to get more exposure (currently post on HN, IH, dev.to, Twitter) 2. Song topic ideas 3. Monetization ideas I am missing

Visit productView on Hacker NewsNov 13, 2018
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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: ide, io · Missing: https docs, excited, just released
57%57% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
31%31% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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