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Howler 2.0 is PR outreach as a service starting at $99/mo

Hacker News

Howler 2.0 is PR outreach as a service starting at $99/mo

Hey guys! ~3 months ago we launched Howler (www.howler.media) as a simple “PR outreach as a service” product; a productized alternative to $5k/mo PR agencies for $149/mo. So far we’ve helped ~100 startups like Ben (YC W18), Bitsbox (as seen on Shark Tank), and Off The Grid get dozens of interviews with outlets like TechCrunch, The New York Times, and The Washington Post. (You can see some of the features we’ve gotten our subscribers at www.howler.media.) We’ve taken all the feedback we’ve gotten from our subscribers and have just shipped a 2.0 with an updated pricing model, brand identity, and landing page. We’ve also recently on-boarded someone to our team in NYC to lead our outreach campaigns and account management. Here's how Howler 2.0 works: 1. We'll write a custom press pitch for you, and we’ll refine it together until you confirm 2. We'll use that press pitch to algorithmically generate a hyper-targeted media list from our database of 500k journalists 3. We'll send personalized pitches to the 125-500 emails in that list 4. We'll follow up with each journalist 1-2 times 5. We'll CC you on the thread if any of them express interest 6. We'll monitor HARO and reach out to journalists proactively if we think you’re a good fit for their story 7. We'll provide analytics of open & reply rates throughout the campaign We’d really appreciate your feedback on our messaging + pricing model! We also have a 20% discount code for HN: HACKERS. Thanks! – Matt, Aaron, David, & Frances

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Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, email · Missing: mac, agents, macos
95%95% 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 · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
56%56% 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 · Missing: https docs, excited, just released
50%50% 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
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscribers, active · Missing: arr, mrr, revenue
27%27% 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
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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