Alternatives
Products that do what Campaign Failure Predictor does
Know if your campaign is doomed. Free.
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Turn campaign data into your next marketing move
Jul 2026 · growthoptplaybook.com
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I’m Andrew, co-founder of Recall. Over the past few days I’ve been building Predict, a playground where anyone can: - propose skills we should measure in language models—live examples include difficult math, memory-manipulation resistance, code generation, and empathy under bad news - write evals (graded prompts) for those skills - forecast which models will score highest once GPT-5 is released Why this exists Benchmarks leak into training data quickly; scores are unreliable and labs still declare progress. The prediction tool aims keeps the target moving by letting the crowd define both the…
2025
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Hey HN, I’m a solopreneur and have been in the SaaS space for the past 3 years. My last 3 startups failed, and a common challenge in all of them was figuring out how to reach my audience. Recently I started with cold outreach (its a struggle, since I dont have much experience with marketing). I am finding leads mainly using exa.ai websets (web vector search, extremelly good for multiple use cases, recommend checking them out) and then sending them through smartlead. I ran the campaign for the past 30 days and 12-15% emails always bounced. This wasted my email credits & chances of reaching…
2025 · verifyemailai.com
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I've gotten to the point in my career where I now make strategic decisions often (hiring, firing, choosing what equipment to go with, etc.), as well as in my personal life where I need to strongly weigh my options for a big purchase or investment. I found a not-so-surprising parallel between the two as these decisions "resolved." Am I making good decisions or am I getting lucky? Did some research, read some books, and realized I should get in the habit of tracking my decision process. That quickly turned into the idea that formed Convexly. The landing page is a 10-question calibration quiz…
Apr 2026 · convexly.app
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I spent last 6 months trying to build Simple Ops [1] to democratize website performance monitoring so anyone can use it. A year back, while I was trying to measure performance for Visa List as it became a huge content website with more than 100K pages. Also as data is changing very frequently, it's very hard to keep doing this manually. I searched on google and found that all the solutions are just uptime monitoring and nothing and none of them truly measure performance. So I decided to build one for myself. But it turns out website performance monitoring is not so simple after all and with…
2020
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Hello friends - I spent the past 6 months building this search bar for marketers so that they can get their campaign performance data easier and faster. Currently they either have to manually pull those data from Google Ads, Facebook Ads, etc., or to use some connectors, such as Supermetrics/Fivetran, to automate the data pulling process and then build a reporting dashboard from it. I believe that those marketing data and reports can be "one search away". So I built a software prototype that 1) has OAuth2.0 connections to Google Ads 2) translates natural language prompt to Google Ads…
2023 · youtube.com
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I was working on validating some of my own project ideas. While trying to find how to validate my idea, I realized the process itself could be turned into a tool. A few late nights later, I had something that takes any startup idea, fetches discussions, summarizes sentiment, and gives a quick “validation score.” It’s very rough, but it works, and it’s already making me rethink a few of my own ideas. It's still a work in progress. I don't actually know what I'm doing, but I know it's worth it. Honest feedback welcomed! Live demo here: https://validationly.com/
2025 · validationly.com
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GTM iteration is slow by nature. Test the price, wrong. Fix the message, doesn't convert. Try a new audience, wrong segment. Pick a channel, no traction. Each mistake costs a month. By the time you've iterated to something that works, the market has moved - especially now, when AI is reshaping what buyers want every quarter. We built RightSuite to compress that cycle. Describe your offer and target audience. The system runs it through a synthetic buyer population and tells you what's likely broken before you go live. It won't replace talking to real customers. Nothing does. But it means you…
Apr 2026 · github.com
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Hi HN! I built this after seeing several references to Election Truth Alliance on social media, and after reading their analysis, I just couldn't get the problems I saw in it out of my head. So I downloaded the data, and rebuilt their full analysis from scratch. Their critical error is a simple misunderstanding of the Law of Large Numbers: values collected in large samples converge to the true probability in the sample distribution. (not to be confused with the Law of Very Large Numbers: which states that unlikely things happen given enough time. That confused me too) Technical Details: - No…
2025 · sullivan.zip
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Wanna impress your audience but don’t have enough money for a lambo? Fake it till you make it with a phony MRR dashboard! This might just look like I'm taking the piss, but I see this as an artistic statement about the latest trend of posting fake/embellished marketing content
2024 · usegravity.app
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Based on the feedback from my closed beta customers and a lot of answers on this thread http://www.quora.com/Management/What-are-common-mistakes-that-new-or-inexperienced-managers-make/answer/Ian-McAllister, I decided to pivot my product to make a nimble performance documentation tool for managers to document the good/bad feedback to their reportees at one place. I am currently doing this by generating an email address that managers can 'cc' while emailing any feedback to their team members. All the feedback that is collected is visualized as a timeline…
2015
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