HOW TO BURN AI CREDITS BUT SAVE HOURS OF GRUNT WORK. Just tested @FirsayAI on video. The task: scrape Web3 founders on X and generate cold outreach drafts for collabs. What actually hit: the algorithm scans profiles well and writes solid, personalized drafts tailored to your offer. No manual copy-pasting, just click and you're good. The massive fail: the system deducts credits even for a search that returns "0 candidates". Paying cents for an empty result is kinda lame. Plus, the draft text gets cut off in the table UI, making it annoying to read. Solid tool for outreach automation, but watch your limits. Anyone else trusting neural nets with their DMs yet?
View on X@FirsayAI
- $400
- Reward pool
- Oct 2, 2026 – Oct 6, 2026
- Window
- Top 10,000
- Open to
- 24
- Reviews so far
Reach across all posts
24 posts · public numbers from X
- 9.2K
- views
- 329
- likes
- 53
- reposts
- 69
- replies
- 88
- bookmarks
- 5
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Test Drive brief
Test one Firsay mode on a real task: People & projects, Ad buyer research, or Outreach campaign (review a draft only; do not send). Firsay caps X API usage at $0.50 per tester and notifies you when exhausted. Post one honest X review naming the mode, one concrete observation, and one improvement. Tag @FirsayAI. Limit: 1 tweet(s) per account.
Your post must include
- Includes @FirsayAI
- Fits in 740 characters
- Oct 2, 2026, 12:00 AM
- Starts
- Oct 6, 2026, 11:59 PM
- Ends
- firsay.io ↗
- Website
- 1
- Posts per account
Reviews (24)
Ranked by views · Honest by design
Reviews are honest by design: positive, mixed, or critical. Positivity is never required.
Every creator selling posts wants the same list who's paying for promos in their niche right now Ran the Ad buyer research mode on @FirsayAI AI agents, X, last 30 days, min 2 placements It returned 4 potential buyers, each with a source link So every one was easy to verify That's where it fell apart 1 placement each, and none of the sources was an X post 2 blog articles, 1 KOL agency, 1 creator job board The real buyer, Viral Mind AI, was buried inside that job board listing One fix: rank the brand named in the evidence, not the site it's hosted on
View on Xi just tested @FirsayAI People & Projects mode for lead research. looked into web3 kols on X and got results. it found relevant profiles, but checking the evidence behind each match took some digging. one improvement: make the supporting evidence easier to scan at a glance.
View on XTested @FirsayAI People & Projects mode for Web3 ambassador opportunities. It scanned 182 sources but returned 0 candidates, with all rejected for being below the member minimum. I like the transparency, but the qualification filter feels too strict and needs more flexibility.
View on XEvery creator who sells posts wants one list who is paying for promos in their niche right now Tested the Ad buyer research mode on @FirsayAI AI agents, X, last 30 days, min 2 placements 4 potential buyers came back, each with a source link So every one was quick to check That is where it broke 1 placement each, and no source was an X post 2 blog articles, 1 KOL agency, 1 creator job board The actual buyer, Viral Mind AI, sat inside that job board listing One fix: rank the brand named in the evidence, not the site hosting it
View on XI tested @FirsayAI Ad Buyer Research twice → first for Prediction Markets, then for Wallets. It looks for public signals showing that a company spends on creators, sponsored posts, paid collaborations, or other promotions. My Observation: → I set minimum placements to 2, but one result still showed only 1. → ProCrypto appeared, but the source is a crypto KOL/influencer marketing agency. This confirms paid creator activity, not that ProCrypto is the buyer for a Wallet or Prediction Market campaign. → I’d like each signal to show the creator, post, date, platform, and evidence behind it. Firsay can help build an outreach list. Better buyer matching and clearer proof would make the results easier to act on.
View on XTested @FirsayAI app to source verified Web3 contacts for BD and partnerships The built-in Research Playbooks (like MM prospects, KOLs, Ambassador opportunities etc) are super practical They auto-fill complex prompts that filter for bio role proof and public contacts while excluding already-seen profiles $0.50 X API testing credit is displayed right next to the "Amount target" slider, showing an estimated API cost per target would help users budget their cap better
View on Xjust tested Firsay Mode(@FirsayAI) on a real people & projects task it found relevant people and linked them to the right projects, so i didn't have to dig through X manually one thing i'd improve: structure the final results better so it's easier to compare the strongest leads pretty useful workflow for research imo
View on XI tested the People & Projects mode on @FirsayAI with a real task: finding Web3 founders and projects relevant to content and educational work. What stood out was the evidence behind the results. Several profiles included verified X bios, role proof, project associations and activity metrics, making it easier to understand why they appeared and assess each result. The main weakness was relevance. Some results matched my criteria well, while others were less connected to the Web3 focus. Better filters for niche, project type and recent activity would make discovery more precise and save time. Overall, a useful research starting point with room for sharper filtering.
View on XI remember how I got my web3 job back in Q1, it was one Prediction Market derivative. I got the job there cos I made sleepless nights of research and was early enough to position for the role there. I tried to job hunt again in the Prediction Markets ecosystem for new projects building in this vertical but this Time I optimized my time and work using @FirsayAI. I searched for early Prediction Markets projects and their founders launched in the past 60days. I was just able to spot one for now, but the tool is pretty useful, it spares me all my time wastage on finding early narratives like how I use to do back then. this Ai still needs some Improvement, I think it doesn't really do that deep research and isn't flexible enough.
View on XFinding actual ad buyers in crypto is underrated. I used @FirsayAI’s Ad buyer research mode on the wallet niche and it surfaced TurnkeyTown from a creator campaign signal. Checked them manually and they’re a crypto influencer marketing agency running KOL campaigns. One improvement: I’d like to see more evidence behind the confidence score, especially when there’s only one placement. If you’re a creator looking for the next deal, FirsayAI can help with that.
View on XI told @FirsayAI to find me potential ad buyers in Bittensor using the Ad Buyer Research mode. It returned 5 results, each with a 100 score, which made the shortlist easy to review and prioritize. The useful part was having potential prospects surfaced instead of manually digging through X. One improvement: I would like to see more context behind the scoring, so I can understand exactly why each prospect ranked highly. Solid first test for outreach research. Give it a go here: firsay.io
View on XRan @FirsayAI People & projects mode on a task: “Web3 KOLs with public Telegram contacts and recent X activity.” 66 source records with 2 candidates in 25 seconds The top one scored 100/100, but its matching post had 0 likes and 6 views The score seems to reward proof, contact info, and source quality, but not the actual activity I was searching for. I’d love to see the score split into: > role proof > contact quality > recent activity That would make the ranking much more useful for actual outreach The concept is good though. Especially for BD and lead research
View on XTested @FirsayAI People and Projects mode on a real search for prediction-market founders It checked 14 profiles and returned 2 candidates with 84% average confidence Useful part: the results include role, project and source evidence The weak spot: I asked for 10 and got 2 I’d improve it by showing why the other 8 were rejected
View on XTested @FirsayAi People & projects mode on a lead-research task. it surfaced a GitHub profile that matched the target well with relevant evidence. One improvement: try making the verification/evidence behind each match easier to review at a glance
View on Xtested Firsay’s People & Projects mode. The UI felt confusing and overly verbose, and my search “find users interested in trying out stable coin wallets” returned nothing. I think Firsay needs broader UI/UX improvements, but also better intent parsing. An average user should be able to describe what they want naturally, while Firsay derives the structured search behind the scenes instead of making the user figure out how to phrase the query. @FirsayAI
View on XTested @FirsayAI using the People & Projects mode for a real-world task. I asked it to find 15 active Project Manager roles across Web3, but only got 5 results and most weren’t actual active openings. They were mostly general profiles or leads without clear hiring signals. The UI also feels quite complex, with limited context around how the filters and scoring work. It would be helpful to have clearer documentation explaining how the platform reaches its results.
View on XI've been trying out different tools for lead gen, prospecting & outreach recently GrokBot, Codex w computer use, and now also @FirsayAI via a TestDrive campaign I ran 2 searches for potential product owners who could run a campaign on TestDrive some feedback on the product: - JSON export is a good start, but an MCP to plug this into another agent would be nicer! this way all context could be taken into account, and could save a few step of context, export & import. - when i ran the 2nd search, the results of my first search dissapeared. Luckily i exported the JSON, but if i didn't do that i would have lost the results. A search & results archive tab could solve this issue here. Hope that helps @fluixoo
View on XAn all in one app that can help Crypto and non-crypto individuals TO QUICKLY gather the info or data they need. Thanks to @FirsayAI to creating this by gathering thousands of accounts, devs, founders, groups, and etc. to back their site enough data to provide a user their requests. Lots of requests can be made like: Looking for People & Projects, Outreach campaigns, and running an AD Buyer. I tested People & Projects to find ambassador and contributor opportunities, but didn't find any so I tested a new prompt. So I just selected a ready-prompt about new projects looking for roles in AI and Web3 sector. The results were a bit slim so I guess the AI needs more data from both mutual accounts and groups to gather more findings
View on XI Tested @FirsayAI People & projects mode: and asked it to "Find me 10 HR managers at Hyperliquid Dex, and it should return role evidence and X handles." What i Observed: The generated queries swapped HR for founder, BD lead, partnership lead, CMO and community manager. The one result was a BD Lead at FameEX, scored 100. The details panel was upfront about the shortfall (12 identities found, 4 rejected for missing contact). Suggested Improvement: flag when a result matches an adjacent role or project, and show role/project match next to the score so a 100 means a 100 on what I asked for
View on XFinding leads has been one of the hardest things I have done, the effort,time and patience is not something small. I am so relieved to see @FirsayAI tackling this problems. When I tested firsayai, I expected much more from it, I didn't really get the desired outcomes and I believe it should do better. I ran a search on people and projects to look for active ambassador programs and no result was shown, while I also review a draft on outreach campaign without much solution, mind you I found some when I searched manually. The platform is somehow confusing when navigating it, although I love the fact that the platform guide was included.
View on XWho’s paying for promos in your niche? @FirsayAI gives outreach a useful head start, but buyer matching needs work. Agencies aren’t always buyers, and “min 2 placements” should mean 2. Show the brand, creator, post and date so leads are easier to trust.
View on XI tried Firsay’s People & projects mode first, starting with a search for ambassador opportunities. That returned no matches, so I switched the task to finding Web3 KOLs and got much better results, including profiles, public contact routes and evidence for why each lead matched. I like that @FirsayAI shows the reasoning behind the results instead of just giving you a random list. One improvement I’d like is better guidance when a search returns nothing, maybe suggesting nearby searches or automatically broadening the criteria.
View on XTested @FirsayAI in People & projects mode. Observation: my own brief didn’t return the people I asked for, and most Research Playbook example searches came back with zero results. One playbook query did return a useful list with role, signal, and evidence. Improvement: first-time use is confusing. You have to figure out what the product does and how results work. A clear FAQ plus a short on-site demo would make the first run much easier.
View on X