Usernode

Season 1 · Community Survey · Results Report

What 75 builders told us about Season 1

A complete, anonymized read-out of the Season 1 community feedback survey. Every figure below is computed directly from the response file — closed questions as exact counts, open text as clearly-labeled theme frequencies. No respondent identities appear anywhere in this report.

RESPONSES 75 PREPARED 2026-07-14 BASIS survey responses only ANONYMIZED yes
◆ Base note: this file contains 75 responses; an earlier internal snapshot cited 66. All numbers here reflect the 75-response file.
+66.7
Net Promoter Score
72 scored · mean 8.97 / 10
81%
Found app-building highly useful
61 of 75
72%
Loved the “vibe coding” atmosphere
54 of 75
71%
Plan to keep using the platform
53 of 75 · “Yes, absolutely!”
01

The one-paragraph takeaway

Sentiment is strongly and consistently positive. Not one respondent scored the recommendation question below 5, and only a single person said the point system “needs improvement.” The friction people describe is almost entirely in build mechanics — the AI agent breaking working code, wallet / on-chain integration, AI-credit limits, merge gating, and the battery-and-data cost of running a node on a personal phone — not in whether the program is worth their time. The clear directive from the data: keep the loop, remove the friction.

02

Sentiment across the five rated questions

Exact response counts. Bars are scaled to all 75 responses, so non-answers are shown as the remainder.

Most positive Qualified / middle Negative No answer
Clarity of challenges & points
47
25
Point-distribution transparency
48
23
Enjoyed the “vibe coding”
54
18
Building felt useful
61
10
Plan to keep using
53
20

Zero respondents chose the most negative option on clarity (“not clear”) or on continuing (“no”). The single negatives are: 1 “needs improvement” on transparency, and 1 “didn’t feel the vibe.”

03

Net Promoter Score

“How likely are you to recommend Season 2?” — 0 to 10. 72 respondents scored; 3 left it blank.

Distribution of scores · N = 72 · colored by NPS band
2
5
1
6
3
7
15
8
21
9
30
10
3
n/a
51
Promoters · 9–10
18
Passives · 7–8
3
Detractors · 0–6

NPS = (51 promoters − 3 detractors) ÷ 72 × 100 = +66.7. Scores 0–4 received zero responses.

04

What held people back

Multi-select question. 66 of 75 answered; options are not mutually exclusive.

Respondents selecting each option · base = 66 · scaled to the top value (33)
Technical issues
33
Not enough time
33
Waiting for more updates
30
“Other” free-text note
12
Didn’t know where to start
11
Instructions were unclear
6
Device resources
3

The 12 free-text notes are dominated by the cost of running a node on a personal phone — battery drain, mobile-data cost, device heat and wear, and the need for a stable connection.

05

Technical blockers while building

Open-text question. 54 of 75 answered. Themes are keyword-scanned — a response may count toward more than one.

Respondents mentioning each theme · base = 54 · keyword-scanned (approximate)
Agent / AI errors & loops
22
Device / network
13
Credits / quota / daily limit
12
Merge / PR / CI checks
9
Docs unclear / missing
7
Wallet / on-chain
6
Staging / deploy
1
06

What builders want next

Three separate open-text questions. The same four asks surface at the top of all three.

“Missing for the vibe-coding experience” · base = 52 · keyword-scanned
Debugging / logs / errors
16
Docs / examples / templates
10
Wallet / on-chain tooling
7
Staging / preview / deploy
7
More credits / higher limits
6
File / image upload
4
Theme Missing (n=52) Would keep me (n=50) Want in S2 (n=56)
Docs / examples / templates 10 10 4
Wallet / on-chain tooling 7 10 8
Debugging / logs / error visibility 16 6 2
More credits / higher limits 6 5 4
Staging / preview / deploy 7 2 2
File / image upload 4 1

Read across the rows: documentation/examples, native wallet & on-chain tooling, error/debugging visibility, and more AI credits are the consistent top asks regardless of how the question is framed.

07

Why people joined, and what to keep

Two open-text questions, keyword-scanned. Themes are not mutually exclusive.

Main motivation to participate · base = 64
Crypto / Web3 / node
32
Learning / curiosity
28
Building apps / products
18
Earning points / rewards
17
Community / friends
14
Activities to keep for Season 2 · base = 56
Hackathon / app-building
26
Challenges / quests
25
Community / team
13
Running the node
12
Voting / governance
3

Motivation leans toward curiosity and the technology over pure reward-seeking: 17 named points/rewards, versus 28 for learning and 32 for the crypto/Web3 angle. No respondent asked to remove a core activity — though several flagged voting as a drag on team speed in the pain-point question.

08

In their own words

Verbatim excerpts, anonymized — no handles, names, or identifying references. Lightly trimmed for length.

“Was stuck when the bot couldn’t update or fix errors. It would often fix something that would break something else.”
Agent / AI errors
“Wallet or on-chain feature make us stuck! And push us to create dummy integration — the AI implemented EVM instead [of] the native chain.”
Wallet / on-chain
“The biggest challenge was the limited AI API credits, which restricted development, testing, and iteration.”
Credits / quota
“Voting is definitely slowing the whole process… syncing everybody in different time zones could be challenging.”
Coordination
“The biggest pain point was waiting for manual PR approvals and opaque scoring updates.”
Merge / scoring
“Running the node continuously consumed a significant amount of battery and mobile data… I had to limit my participation.”
Device cost
“The most valuable part was gaining practical experience building a real dApp… It helped me become more confident in Web3 development.”
Most valuable
“A modern blockchain project that aims to be accessible to anyone.”
How they describe it
09

What the evidence points to

Observations that follow directly from the numbers above — stated as the survey supports them, no further inference.

Strong pull, low risk of churn

NPS +66.7, 81% found building useful, 71% will “absolutely” continue, and there are effectively no detractors on any closed question.

Clarity is good, not solved

63% found points completely clear, but 25 said “somewhat,” and open text repeatedly asks for point breakdowns, real-time sync, and less opaque scoring.

Friction is in the build, not the program

The top blockers are agent errors, wallet / on-chain integration, AI-credit limits, and merge gating — build mechanics, not whether Season 1 was worth the time.

A clear Season 2 backlog

Docs & examples, native wallet / on-chain tooling, error & debugging visibility, and more AI credits are the consistent top asks across every framing of the question.

Part of the Season 1 recap — see also the Season 1 Retrospective.